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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. 6092
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    INDEX
    Explanations

    mentions of writers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "writer"

    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
    ĸļ
    -0.82
    ibaba
    -0.81
    rals
    -0.80
    ADRA
    -0.80
    illon
    -0.75
    eneg
    -0.73
    Ĭ±
    -0.73
    undai
    -0.73
    aband
    -0.70
     Lumpur
    -0.69
    POSITIVE LOGITS
     writer
    1.02
     laureate
    0.97
    writer
    0.93
    uscript
    0.83
     fiction
    0.83
    itatively
    0.82
    writing
    0.82
    writ
    0.81
     writers
    0.80
     Writer
    0.78
    Activations Density 0.023%

    No Known Activations