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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. 4631
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    INDEX
    Explanations

    numerical measurements related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to yardage in football

    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
    tenance
    -0.71
    kef
    -0.70
    isf
    -0.68
     plur
    -0.66
    oid
    -0.66
    lich
    -0.64
    orescent
    -0.64
    odo
    -0.64
    atively
    -0.62
    yg
    -0.61
    POSITIVE LOGITS
     yards
    0.91
     rushing
    0.79
     touchdowns
    0.79
     rusher
    0.76
     Passing
    0.75
     touchdown
    0.74
     Scouting
    0.72
    anders
    0.72
    veland
    0.72
    plings
    0.70
    Activations Density 0.017%

    No Known Activations