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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. 23194
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    INDEX
    Explanations

    words related to edibles or food items

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to "ed" suffixes, indicating past actions or modified states

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    Story
    -0.69
    fruit
    -0.64
     Nun
    -0.64
     sight
    -0.61
    EStreamFrame
    -0.61
    ãĥ¯ãĥ³
    -0.60
     Kou
    -0.59
    merce
    -0.59
    idine
    -0.58
    falls
    -0.58
    POSITIVE LOGITS
    uce
    1.21
    monton
    1.21
    icts
    1.17
    uctive
    1.14
    nesday
    1.13
    ict
    1.13
    gew
    1.11
    uct
    1.10
    inburgh
    1.05
    aily
    1.03
    Activations Density 0.042%

    No Known Activations