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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. 16938
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    Explanations

    references to locations or entities with the abbreviation "U.S."

    oai_token-act-pair · gpt-3.5-turbo

    references to the United States

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Noir
    -0.72
     juggling
    -0.68
     bars
    -0.68
     remarks
    -0.60
     sentences
    -0.60
     stiffness
    -0.59
     Kaf
    -0.59
     dealing
    -0.57
     Dj
    -0.57
     moderation
    -0.56
    POSITIVE LOGITS
    nexpected
    1.23
    gly
    1.19
    PDATED
    1.12
    prising
    1.11
    seless
    1.09
    mpire
    1.05
    LT
    1.02
    lyss
    0.99
    pperc
    0.97
    topia
    0.96
    Activations Density 0.048%

    No Known Activations