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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. 14552
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    Explanations

    phrases related to sports teams named "Blues"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports team or their performance

    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
    Not in Any Lists

    No Comments

    Negative Logits
    awei
    -0.83
    igators
    -0.78
    rises
    -0.74
    rians
    -0.72
    ILY
    -0.68
    riel
    -0.67
    igated
    -0.66
    Wan
    -0.63
     Gingrich
    -0.63
    itutional
    -0.63
    POSITIVE LOGITS
    hift
    1.35
    hirt
    1.13
    creen
    1.11
    pace
    0.85
    ignt
    0.83
    keeper
    0.81
    wagen
    0.77
    berries
    0.77
    ename
    0.75
    cat
    0.75
    Activations Density 0.036%

    No Known Activations