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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. 10-RES-JB
    6. 22611
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    INDEX
    Explanations

    percentages in relation to political matchups

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating comparative results or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    calling
    -0.61
    é¾įåĸļ士
    -0.60
     largeDownload
    -0.59
    Rew
    -0.59
     Donation
    -0.58
    hop
    -0.57
    cffffcc
    -0.57
    itudinal
    -0.56
     exceptions
    -0.55
     evid
    -0.54
    POSITIVE LOGITS
    ggles
    1.11
     date
    0.99
     qualify
    0.86
     compensate
    0.83
    ppers
    0.80
    asted
    0.80
    date
    0.78
    wered
    0.76
    adies
    0.73
     settle
    0.73
    Activations Density 0.087%

    No Known Activations