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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. 3-RES-JB
    11. 13051
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    Explanations

    numerical sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical or coded identifiers, specifically related to versions or specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    staking
    -0.82
    rolet
    -0.76
     Winc
    -0.63
    esville
    -0.63
    ounge
    -0.62
    sym
    -0.62
     mell
    -0.62
     Suzuki
    -0.61
    ĵĺ
    -0.61
     gent
    -0.60
    POSITIVE LOGITS
    rd
    1.95
    RD
    1.12
    DS
    0.95
    dfx
    0.85
    PO
    0.83
    sg
    0.83
    Aren
    0.82
    peat
    0.81
    ½
    0.77
    DP
    0.76
    Activations Density 0.081%

    No Known Activations