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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. 7-RES-JB
    11. 5206
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    Explanations

    phrases related to sports teams, especially those named "Red Wings"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Red" in relation to sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.85
    ILA
    -0.81
    merce
    -0.79
    awaru
    -0.78
    uador
    -0.77
    ILY
    -0.76
    Reloaded
    -0.74
    lectic
    -0.73
    SPONSORED
    -0.73
    Ó
    -0.73
    POSITIVE LOGITS
    eem
    1.06
    oubt
    1.06
    ucing
    1.04
     Sox
    1.04
    neck
    1.02
    ucer
    0.99
    uces
    0.99
    uced
    0.92
    emption
    0.92
    woods
    0.92
    Activations Density 0.017%

    No Known Activations