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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. 9-RES-JB
    11. 18256
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    Explanations

    numeric values with percentage symbols

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, particularly percentages and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.73
    actionDate
    -0.70
    ovie
    -0.70
    DragonMagazine
    -0.68
    reb
    -0.67
    cffffcc
    -0.65
    zos
    -0.64
     skim
    -0.63
     compan
    -0.63
    Sov
    -0.60
    POSITIVE LOGITS
    %
    0.68
    %;
    0.68
     ±
    0.66
    00
    0.66
    %,
    0.66
     respondents
    0.64
    50
    0.63
     commits
    0.61
     pts
    0.61
     MIA
    0.60
    Activations Density 0.042%

    No Known Activations