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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. 3-RES-JB
    11. 396
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    Explanations

    references to organizations, especially those associated with specific numerical identifiers like "501" or proper nouns like "Viz," "Yates," or "Bayer."

    oai_token-act-pair · gpt-3.5-turbo

    references to nonprofit organizations and their classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.92
    inement
    -0.83
     combustion
    -0.79
    cffffcc
    -0.78
    uckland
    -0.76
    monds
    -0.76
    ather
    -0.73
    upuncture
    -0.73
    adden
    -0.70
    atton
    -0.70
    POSITIVE LOGITS
    hof
    0.82
    DEN
    0.82
    WER
    0.82
    Magikarp
    0.78
     Viz
    0.78
    ERY
    0.75
    MQ
    0.75
    hound
    0.75
    20439
    0.74
    creen
    0.73
    Activations Density 0.028%

    No Known Activations