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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 24019
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    Explanations

    questions within a sentence

    oai_token-act-pair · gpt-3.5-turbo

    inquiries and expressions of personal capability or uncertainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Scroll
    -0.46
    eah
    -0.44
    resa
    -0.43
     Spoiler
    -0.41
    Copyright
    -0.40
    epad
    -0.40
    olphins
    -0.39
     Canaver
    -0.38
    hog
    -0.38
    owship
    -0.37
    POSITIVE LOGITS
    ]."
    0.71
    )."
    0.70
    '."
    0.63
    "/>
    0.62
    .'"
    0.59
    !".
    0.56
    ]).
    0.53
    .</
    0.53
     ."
    0.52
     }}
    0.51
    Activations Density 3.231%

    No Known Activations