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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. 4-RES-JB
    11. 6087
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    Explanations

    proper nouns related to locations or people

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "ju" and its variants, likely related to specific names or labels

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

    No Comments

    Negative Logits
     Advent
    -0.71
     Grain
    -0.70
    hetically
    -0.70
     Spectrum
    -0.69
    CAST
    -0.68
     Regulations
    -0.68
    aday
    -0.68
    space
    -0.67
    riad
    -0.67
     Ninth
    -0.66
    POSITIVE LOGITS
    xtap
    1.11
    ulkan
    1.03
    udeau
    1.02
    amph
    0.98
    ipers
    0.96
    oti
    0.94
    ice
    0.94
    unte
    0.92
    iceps
    0.92
    isu
    0.90
    Activations Density 0.018%

    No Known Activations