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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. 3-RES-JB
    11. 18593
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    Explanations

    mentions of sports matches

    oai_token-act-pair · gpt-3.5-turbo

    references to sports matches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raft
    -0.71
    otom
    -0.68
    é»Ĵ
    -0.66
    gone
    -0.65
    pmwiki
    -0.64
    sie
    -0.63
     Extrem
    -0.62
    ä¼
    -0.61
    Vert
    -0.61
     Absent
    -0.61
    POSITIVE LOGITS
    making
    0.85
    makers
    0.81
    maker
    0.81
     match
    0.78
    nings
    0.78
     matches
    0.77
    match
    0.75
    ees
    0.73
    inos
    0.72
    eering
    0.72
    Activations Density 0.018%

    No Known Activations