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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. 4-RES-JB
    11. 2616
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pu
    -0.77
    gettable
    -0.76
    tein
    -0.75
    forth
    -0.75
    ypes
    -0.74
    bernatorial
    -0.73
    thood
    -0.73
     Meier
    -0.72
    lihood
    -0.70
    dot
    -0.68
    POSITIVE LOGITS
     lobbyists
    0.85
     sector
    0.84
     insiders
    0.81
     giants
    0.80
     titan
    0.79
     industry
    0.77
     lobbying
    0.77
     bailout
    0.75
     industries
    0.74
    wide
    0.74
    Activations Density 0.023%

    No Known Activations