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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. 9891
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    Explanations

    mentions of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to New England

    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
    ãĤ¼ãĤ¦ãĤ¹
    -0.79
    ngth
    -0.78
    SHIP
    -0.78
    hub
    -0.74
    byn
    -0.73
    chio
    -0.72
     Mehran
    -0.72
    amera
    -0.69
    zers
    -0.68
    zona
    -0.66
    POSITIVE LOGITS
     Patriots
    0.96
    ers
    0.92
     Armory
    0.82
    idia
    0.75
     2024
    0.75
     Pelicans
    0.72
     Conserv
    0.71
     Meadow
    0.70
     Bay
    0.68
    er
    0.68
    Activations Density 0.030%

    No Known Activations