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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. 3-RES-JB
    11. 24404
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    Explanations

    words related to American football, specifically focusing on offensive lines

    oai_token-act-pair · gpt-3.5-turbo

    references to offensive lines in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.82
    sonian
    -0.79
    ricular
    -0.76
    ndum
    -0.75
    minster
    -0.74
    è£ħ
    -0.73
    é¾įå¥ij士
    -0.72
    ilton
    -0.70
    rir
    -0.70
    sburg
    -0.68
    POSITIVE LOGITS
    backer
    1.07
    aments
    0.85
    lines
    0.82
    line
    0.81
    call
    0.79
    runners
    0.77
    ups
    0.77
     scrimmage
    0.76
     line
    0.74
     lines
    0.72
    Activations Density 0.022%

    No Known Activations