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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. 8-RES-JB
    11. 24555
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    INDEX
    Explanations

    mentions of polling-related terms such as "polling," "polls," "polling places," and "polling firms" in texts

    oai_token-act-pair · gpt-3.5-turbo

    references to polling and poll-related data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.91
     Leilan
    -0.89
     Flavor
    -0.82
    ĸļ
    -0.77
     certs
    -0.73
    uria
    -0.73
    EngineDebug
    -0.71
     extr
    -0.70
    Interstitial
    -0.70
    ivas
    -0.69
    POSITIVE LOGITS
    sters
    1.03
     polling
    1.00
    uting
    0.93
     polls
    0.90
    ster
    0.88
    uters
    0.85
    caster
    0.82
     averages
    0.82
     wat
    0.79
    hare
    0.78
    Activations Density 0.037%

    No Known Activations