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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. 6-RES-JB
    11. 7510
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    INDEX
    Explanations

    sports-related terms, specifically referring to rounds in drafts or picks

    oai_token-act-pair · gpt-3.5-turbo

    references to first-round draft picks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ̶
    -0.78
    ONEY
    -0.76
    hra
    -0.75
    retty
    -0.75
    aido
    -0.74
    UTF
    -0.73
    amera
    -0.72
    ipedia
    -0.71
    anke
    -0.71
    EStream
    -0.70
    POSITIVE LOGITS
     visitors
    0.85
    tenance
    0.78
     affairs
    0.76
     visitor
    0.76
     attractions
    0.74
     correspondence
    0.74
     earners
    0.73
     collisions
    0.72
     survival
    0.72
     cooperation
    0.67
    Activations Density 0.142%

    No Known Activations