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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
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    Explanations

    mentions of specific political entities, particularly 'Congress'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of members of Congress

    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
    =~=~
    -0.68
    Naz
    -0.65
    flix
    -0.64
    vantage
    -0.63
    PDATE
    -0.63
     Schl
    -0.61
    ropolitan
    -0.61
    wash
    -0.61
    zl
    -0.60
    Ń·
    -0.60
    POSITIVE LOGITS
    hips
    0.96
    holder
    0.75
    olor
    0.72
    ately
    0.71
    hip
    0.66
    holders
    0.66
     fame
    0.63
     delegation
    0.61
     Volunteers
    0.61
     Meeting
    0.61
    Activations Density 0.019%

    No Known Activations