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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. 9-RES-JB
    11. 12771
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    Explanations

    keywords related to software functionality or compatibility

    oai_token-act-pair · gpt-3.5-turbo

    references to the functionality and operational status of software or applications

    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
    ilings
    -0.76
    ultural
    -0.73
    rition
    -0.71
     Flavoring
    -0.71
    ulture
    -0.66
    RIC
    -0.65
    gart
    -0.63
    laus
    -0.62
     Jed
    -0.61
    osure
    -0.61
    POSITIVE LOGITS
    bench
    1.09
    heet
    1.04
    flows
    0.99
    paces
    0.96
     reliably
    0.92
     seamlessly
    0.90
     flaw
    0.90
    place
    0.89
     offline
    0.85
     correctly
    0.85
    Activations Density 0.059%

    No Known Activations