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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. 8-RES-JB
    11. 1216
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    Explanations

    numerical values representing points scored or recorded in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to performance metrics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     externalToEVAOnly
    -0.91
    ctors
    -0.74
    HS
    -0.68
    oidal
    -0.67
    tails
    -0.63
     delinqu
    -0.63
    anical
    -0.63
    GROUND
    -0.63
    anyahu
    -0.62
    eatures
    -0.62
    POSITIVE LOGITS
    ifications
    0.82
     apiece
    0.80
     scored
    0.76
    manship
    0.74
     Reyes
    0.73
    uable
    0.71
    ification
    0.71
     scorer
    0.69
     blank
    0.68
    scoring
    0.67
    Activations Density 0.027%

    No Known Activations