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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. 10190
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    INDEX
    Explanations

    phrases related to sports, competition, and events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports events or organizations

    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
     [-
    -0.82
     [+
    -0.75
    Required
    -0.68
     unlaw
    -0.66
    Legal
    -0.66
    Optional
    -0.66
     ..."
    -0.64
    phthal
    -0.63
    ...]
    -0.62
    ilaterally
    -0.61
    POSITIVE LOGITS
     nostalgia
    0.77
     envy
    0.75
     nostalgic
    0.72
     bask
    0.69
     marvel
    0.69
     valiant
    0.68
     revel
    0.67
     cyn
    0.67
     tales
    0.67
     thrilling
    0.66
    Activations Density 1.177%

    No Known Activations