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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. 9-RES-JB
    11. 17739
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    Explanations

    words related to politics and voting

    oai_token-act-pair · gpt-3.5-turbo

    references to voters in political contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SourceFile
    -0.86
    ity
    -0.78
    ness
    -0.71
    uran
    -0.70
    Else
    -0.69
     Chef
    -0.69
    cer
    -0.68
    kefeller
    -0.68
    nesses
    -0.66
    sa
    -0.66
    POSITIVE LOGITS
     turnout
    1.03
    ndum
    0.94
    hip
    0.85
     polled
    0.85
     ballots
    0.81
     decisively
    0.79
     voters
    0.76
     disillusion
    0.76
     electorate
    0.75
     disenfranch
    0.75
    Activations Density 0.041%

    No Known Activations