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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. 0-RES-JB
    6. 7086
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    INDEX
    Explanations

    words related to "Tweed" or "Tweeders"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific brand or product related to Tweezers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.80
    inian
    -0.78
    士
    -0.78
    Nat
    -0.75
    itars
    -0.74
    GD
    -0.72
    doms
    -0.72
     Sap
    -0.72
    gradient
    -0.70
     Chapman
    -0.70
    POSITIVE LOGITS
     Twe
    1.70
     repe
    1.60
     Trou
    1.48
    Twe
    1.42
     cra
    1.40
     trou
    1.35
     stri
    1.31
     Cra
    1.24
     Repe
    1.22
     Impro
    1.22
    Activations Density 0.106%

    No Known Activations