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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. 2-RES-JB
    11. 11655
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    Explanations

    references to distances in yards

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements related to yards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    regon
    -0.77
    ipper
    -0.69
    isen
    -0.68
     ubiqu
    -0.68
    ĸļ
    -0.67
    ivia
    -0.66
    omal
    -0.65
     reversible
    -0.63
    emic
    -0.63
     jur
    -0.62
    POSITIVE LOGITS
    yard
    1.11
    yards
    0.92
    birds
    0.84
    acre
    0.80
    wagon
    0.79
    gart
    0.79
    cake
    0.77
    aneous
    0.74
    arious
    0.73
    stones
    0.71
    Activations Density 0.005%

    No Known Activations