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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. 6-RES-JB
    11. 15330
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    Explanations

    mentions of the game of chess

    oai_token-act-pair · gpt-3.5-turbo

    references to chess and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.95
    uated
    -0.75
    igious
    -0.73
    aneous
    -0.71
    ibus
    -0.70
    uating
    -0.67
    ient
    -0.67
    aments
    -0.66
    aneously
    -0.63
    rawdownloadcloneembedreportprint
    -0.62
    POSITIVE LOGITS
     chess
    0.92
    manship
    0.85
     puzzles
    0.80
     rook
    0.78
     puzzle
    0.75
     Chess
    0.74
     pian
    0.73
    players
    0.72
    OTA
    0.70
    wright
    0.70
    Activations Density 0.027%

    No Known Activations