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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. 1-RES-JB
    11. 11176
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    Explanations

    words related to sports teams or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of football clubs and related teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocobo
    -0.76
    toggle
    -0.73
    eal
    -0.68
    haar
    -0.67
    igm
    -0.67
    ivan
    -0.66
    cean
    -0.65
    vg
    -0.64
    pty
    -0.63
    ceed
    -0.62
    POSITIVE LOGITS
    emouth
    1.07
    sburg
    1.04
     Hots
    0.95
    ©¶æ¥µ
    0.88
     Sunderland
    0.87
     Yard
    0.83
     Arsenal
    0.80
     Dortmund
    0.78
     Norwich
    0.76
    Arsenal
    0.75
    Activations Density 0.011%

    No Known Activations