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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. 11-RES-JB
    11. 366
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    Explanations

    phrases related to specific locations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    igans
    -0.68
    nor
    -0.59
    hiba
    -0.59
    hw
    -0.56
    stroke
    -0.55
    enegger
    -0.53
     way
    -0.53
    enos
    -0.51
    Nap
    -0.51
    etus
    -0.50
    POSITIVE LOGITS
    ibles
    0.58
    ¡
    0.50
    ç
    0.50
    gments
    0.49
    uments
    0.48
    acan
    0.48
    gment
    0.48
    ubb
    0.47
    URR
    0.47
    ãĤ©
    0.47
    Activations Density 0.393%

    No Known Activations