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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
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    Explanations

    references to sports leagues

    oai_token-act-pair · gpt-3.5-turbo

    mentions of different Major League sports leagues

    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
    fulness
    -0.91
    etsk
    -0.76
    ãĥ¼ãĤ¯
    -0.74
    gow
    -0.73
    mble
    -0.73
    perm
    -0.72
    Downloadha
    -0.72
    ledged
    -0.72
    atche
    -0.72
    stant
    -0.71
    POSITIVE LOGITS
     Baseball
    1.09
     Soccer
    0.97
     baseball
    0.72
     leagues
    0.68
     pitcher
    0.67
    ONEY
    0.66
     pitchers
    0.65
     Wrest
    0.65
     Scouting
    0.65
     hitters
    0.64
    Activations Density 0.031%

    No Known Activations