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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 20154
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    INDEX
    Explanations

    instances of the abbreviation "ST" with varying levels of importance indicated through the activation values

    oai_token-act-pair · gpt-3.5-turbo

    references to software systems and technical specifications

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

    No Comments

    Negative Logits
    flies
    -0.85
    gee
    -0.78
    hound
    -0.77
    merce
    -0.75
    metry
    -0.73
    icides
    -0.71
    staking
    -0.70
    pher
    -0.69
    fol
    -0.68
    ãĥīãĥ©ãĤ´ãĥ³
    -0.68
    POSITIVE LOGITS
    REAM
    1.10
    OCK
    0.99
    ART
    0.97
    UFF
    0.96
    AND
    0.90
    ALK
    0.89
    ATS
    0.88
    oppers
    0.88
    DERR
    0.87
    alker
    0.87
    Activations Density 0.011%

    No Known Activations