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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. 10-RES-JB
    11. 17378
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    Explanations

    mentions of legislative amendments or changes

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative amendments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    wan
    -0.77
    avers
    -0.77
    llah
    -0.75
    vana
    -0.74
    ordon
    -0.74
    doms
    -0.73
    prototype
    -0.73
     Tycoon
    -0.71
    balls
    -0.69
    soever
    -0.68
    POSITIVE LOGITS
     thereto
    1.13
    xual
    0.90
    endment
    0.83
    ality
    0.80
     banning
    0.79
    ittee
    0.79
     Amendments
    0.78
     amendments
    0.77
     Amend
    0.76
     amendment
    0.75
    Activations Density 0.039%

    No Known Activations