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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. 8-RES-JB
    6. 14377
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    INDEX
    Explanations

    phrases or sentences indicating decision-making or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to decisions and actions taken

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    WARE
    -0.80
    icult
    -0.74
    icons
    -0.72
    orks
    -0.72
    antha
    -0.71
    ERROR
    -0.68
    icious
    -0.67
    Ĥİ
    -0.61
    ï¸ı
    -0.61
    ippy
    -0.60
    POSITIVE LOGITS
    pez
    0.78
    çīĪ
    0.71
     Tsukuyomi
    0.69
     postpone
    0.68
     seiz
    0.68
     Dek
    0.67
     him
    0.65
    bomb
    0.64
     contrace
    0.64
     retrospective
    0.61
    Activations Density 0.288%

    No Known Activations