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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 2064
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific phrases or terms related to mentorship and guidance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.52
    ]).
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     to
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    ."
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     alike
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    )).
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    '."
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    .'
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     respectively
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    ]."
    -0.46
    POSITIVE LOGITS
    visor
    0.46
    inarily
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    registered
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    Owner
    0.43
    riber
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    enta
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    drawn
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    DN
    0.42
    inally
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    doors
    0.42
    Activations Density 1.399%

    No Known Activations