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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. 10-RES-JB
    11. 15994
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    INDEX
    Explanations

    references to American football statistics, specifically touchdowns and interceptions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of touchdowns and related football statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nih
    -0.84
    hin
    -0.80
    hov
    -0.74
    utic
    -0.73
    hemat
    -0.71
    illac
    -0.68
    tymology
    -0.67
    axis
    -0.66
    zsche
    -0.66
    tan
    -0.66
    POSITIVE LOGITS
     rusher
    0.92
     receptions
    0.85
     touchdown
    0.84
     passes
    0.83
     reception
    0.82
     touchdowns
    0.81
     celebrations
    0.76
     pass
    0.75
     passer
    0.71
     scored
    0.69
    Activations Density 0.032%

    No Known Activations