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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. 6-RES-JB
    6. 18709
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    Explanations

    names of universities

    oai_token-act-pair · gpt-3.5-turbo

    references to universities and educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ]."
    -0.49
    )."
    -0.46
    ".[
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    ).[
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    !".
    -0.41
    ."[
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    )).
    -0.41
    ]).
    -0.41
    ''.
    -0.40
    ?).
    -0.39
    POSITIVE LOGITS
    iaries
    0.28
    ITNESS
    0.25
    owship
    0.24
    itialized
    0.23
    Published
    0.22
     Cait
    0.22
    reenshots
    0.22
     @
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     Bloom
    0.22
    pires
    0.22
    Activations Density 5.863%

    No Known Activations