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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. 7-RES-JB
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    Explanations

    mentions of political figures holding office

    oai_token-act-pair · gpt-3.5-turbo

    references to incumbents in political contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wagen
    -0.95
    ooter
    -0.85
    kie
    -0.85
    okin
    -0.83
    atche
    -0.81
    apa
    -0.80
    ombs
    -0.80
    oho
    -0.79
    tera
    -0.78
    hran
    -0.78
    POSITIVE LOGITS
     incumbent
    1.03
     challenger
    0.90
     frontrunner
    0.84
     challengers
    0.83
     incumb
    0.82
     tenant
    0.80
     opponent
    0.80
     loser
    0.80
     foe
    0.77
     occupant
    0.77
    Activations Density 0.025%

    No Known Activations