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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 physical injuries

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries and their impact on performance

    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
    zees
    -0.73
    eton
    -0.73
     CTR
    -0.71
    avanaugh
    -0.70
     RGB
    -0.70
    rets
    -0.70
    WH
    -0.70
    ihu
    -0.69
    itudes
    -0.68
    reme
    -0.68
    POSITIVE LOGITS
     injury
    0.94
     replacements
    0.91
     plagued
    0.90
     sidelined
    0.90
     suspensions
    0.88
     curfew
    0.86
     derailed
    0.85
     injuries
    0.85
     replacement
    0.84
     slump
    0.83
    Activations Density 0.041%

    No Known Activations