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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
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    Explanations

    mentions of election results

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with election outcomes and results

    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
    icrobial
    -0.76
    pton
    -0.70
    lich
    -0.69
    missible
    -0.68
    ivas
    -0.66
    atts
    -0.66
    Tang
    -0.66
    erson
    -0.64
    nas
    -0.63
    uran
    -0.63
    POSITIVE LOGITS
    hower
    0.75
     result
    0.73
     Elections
    0.69
    igator
    0.69
     results
    0.68
    ination
    0.67
     IOC
    0.67
     Winner
    0.67
    results
    0.66
     Hollande
    0.66
    Activations Density 0.019%

    No Known Activations