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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. 11-RES-JB
    11. 1929
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    Explanations

    sport scores

    oai_token-act-pair · gpt-3.5-turbo

    sports scores or statistical outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aries
    -0.75
    ographies
    -0.65
     subp
    -0.63
    iple
    -0.62
    arus
    -0.61
    gil
    -0.61
     scrut
    -0.60
    onyms
    -0.60
    ools
    -0.58
    mbuds
    -0.58
    POSITIVE LOGITS
     halftime
    0.79
     (.
    0.78
     overtime
    0.74
     overall
    0.70
     mph
    0.67
     victory
    0.66
     rout
    0.64
     Mandatory
    0.62
     vict
    0.61
     underdog
    0.60
    Activations Density 0.059%

    No Known Activations