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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. 1-RES-JB
    11. 23226
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    Explanations

    references to American football plays involving punts

    oai_token-act-pair · gpt-3.5-turbo

    references to punting in football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ħĭ
    -1.09
    unal
    -0.83
    ĪĴ
    -0.82
     millenn
    -0.80
     comr
    -0.78
    elled
    -0.75
     aliases
    -0.75
    ĻĤ
    -0.75
    arine
    -0.74
    awed
    -0.73
    POSITIVE LOGITS
     kickoff
    1.01
     punt
    1.00
     fumble
    0.90
    BALL
    0.87
     FG
    0.76
     Tackle
    0.74
     scrimmage
    0.74
     Pwr
    0.71
     Colts
    0.71
     Redskins
    0.71
    Activations Density 0.014%

    No Known Activations