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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1427
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    Explanations

    percentages or proportions mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases and statistics related to percentages

    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
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    No Comments

    Negative Logits
    laden
    -0.70
    Redd
    -0.68
    venge
    -0.67
    angelo
    -0.65
    ãĥ¤
    -0.63
    tainment
    -0.62
    stre
    -0.60
    icon
    -0.60
    vised
    -0.60
     comforting
    -0.59
    POSITIVE LOGITS
     respondents
    0.89
     of
    0.80
     perished
    0.77
     disapprove
    0.74
     Australians
    0.73
     Britons
    0.71
     Americans
    0.67
     surveyed
    0.67
    OF
    0.65
     rapes
    0.65
    Activations Density 0.086%

    No Known Activations