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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. 7-RES-JB
    11. 9419
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    Explanations

    various forms of the word "dice"

    oai_token-act-pair · gpt-3.5-turbo

    references to dice and chance-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artney
    -0.73
    ovie
    -0.70
     Kut
    -0.70
    mbuds
    -0.67
    eph
    -0.67
    obal
    -0.63
    ĺħ
    -0.63
    African
    -0.63
    SUP
    -0.62
    Else
    -0.61
    POSITIVE LOGITS
     dice
    0.91
     rolls
    0.87
    pool
    0.78
     pool
    0.76
     Rolls
    0.73
    bags
    0.73
    balls
    0.73
     roll
    0.72
    hole
    0.71
     Dice
    0.71
    Activations Density 0.035%

    No Known Activations