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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. 9890
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    Explanations

    phrases related to sports winning streaks

    oai_token-act-pair · gpt-3.5-turbo

    references to games and winning streaks

    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
     mathemat
    -0.81
    bury
    -0.76
    hips
    -0.75
    geries
    -0.74
    ingen
    -0.73
    ived
    -0.73
    heses
    -0.71
    rican
    -0.71
    iosis
    -0.71
    yip
    -0.68
    POSITIVE LOGITS
     misconduct
    0.73
    EVA
    0.70
     MVP
    0.70
    ptives
    0.69
     Slayer
    0.63
    FAQ
    0.62
    Performance
    0.62
     itch
    0.62
     rotation
    0.61
     Finder
    0.61
    Activations Density 0.042%

    No Known Activations