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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. 14761
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific legislative acts or laws

    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
    tsky
    -0.76
    milo
    -0.75
    cash
    -0.67
    itness
    -0.66
    gaard
    -0.64
     kn
    -0.64
    elsen
    -0.64
    ovych
    -0.63
    arching
    -0.62
    holm
    -0.62
    POSITIVE LOGITS
    ional
    1.01
    uary
    0.98
     Amendments
    0.96
    ors
    0.85
    Thumbnail
    0.80
    iard
    0.79
     Act
    0.75
    ivism
    0.73
    Pub
    0.73
    Fram
    0.73
    Activations Density 0.022%

    No Known Activations