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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. 14036
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    Explanations

    references to tangible physical objects or entities described as pieces or parts

    oai_token-act-pair · gpt-3.5-turbo

    references to "pieces" of things, emphasizing parts of larger concepts or collections

    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
     Predators
    -0.81
    elsius
    -0.77
     Monitor
    -0.68
     Lawyers
    -0.58
    iant
    -0.58
     Sector
    -0.57
    ministic
    -0.56
     Nadu
    -0.56
    sed
    -0.56
     runaway
    -0.56
    POSITIVE LOGITS
    meal
    1.97
    work
    0.96
    toe
    0.84
    umen
    0.83
    horn
    0.83
     piece
    0.78
    wise
    0.77
     pieces
    0.77
    glass
    0.76
    icles
    0.75
    Activations Density 0.026%

    No Known Activations