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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. 4937
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of the abbreviation "SF," likely referring to San Francisco

    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
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    No Comments

    Negative Logits
    stall
    -0.88
    pins
    -0.78
    taker
    -0.74
    lain
    -0.73
    pin
    -0.73
    cart
    -0.71
    tin
    -0.70
    brance
    -0.68
    eer
    -0.68
    gie
    -0.68
    POSITIVE LOGITS
    PD
    0.94
    WA
    0.91
    conservancy
    0.82
    DP
    0.81
    ML
    0.80
    RA
    0.78
     Chronicle
    0.78
    GH
    0.75
    TP
    0.73
    DC
    0.72
    Activations Density 0.050%

    No Known Activations