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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
    11. 18061
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    INDEX
    Explanations

    concerns about consequences or conditions related to certain actions or events

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases indicating potential future outcomes or scenarios

    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
    DragonMagazine
    -0.80
    BSD
    -0.71
    ÃįÃį
    -0.70
    inho
    -0.64
    ,,,,,,,,
    -0.63
    anon
    -0.63
    oneliness
    -0.61
    \">
    -0.58
     Cosponsors
    -0.57
     Lines
    -0.55
    POSITIVE LOGITS
     sufficiently
    0.83
     otherwise
    0.71
     properly
    0.70
     somehow
    0.65
     or
    0.64
     sufficient
    0.64
    appropriate
    0.62
     adequately
    0.62
     beforehand
    0.62
    performance
    0.61
    Activations Density 0.604%

    No Known Activations