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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. 12666
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    INDEX
    Explanations

    mentions of specific events or accomplishments within a sports season

    oai_token-act-pair · gpt-3.5-turbo

    references to seasons or series in sports contexts

    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
    hiba
    -0.70
    uyomi
    -0.67
     dstg
    -0.65
     anat
    -0.64
    forts
    -0.63
     advances
    -0.59
     compromises
    -0.59
     horizont
    -0.59
    leeve
    -0.58
     implicitly
    -0.57
    POSITIVE LOGITS
     season
    1.00
     preseason
    0.91
     outing
    0.84
     Championship
    0.79
     semester
    0.78
     Week
    0.78
     postseason
    0.75
    season
    0.75
     Season
    0.73
    Season
    0.73
    Activations Density 0.055%

    No Known Activations