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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. 23291
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    Explanations

    words related to identifying and describing errors or issues

    oai_token-act-pair · gpt-3.5-turbo

    important details related to errors or issues in a context

    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
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    Negative Logits
    phant
    -0.73
    livious
    -0.71
     Polar
    -0.70
    £ı
    -0.70
    nesota
    -0.68
     Brah
    -0.67
    $$$$
    -0.67
    utive
    -0.66
    oreal
    -0.66
     shepherd
    -0.66
    POSITIVE LOGITS
    lees
    0.81
    soDeliveryDate
    0.81
    lean
    0.79
    adders
    0.78
    aries
    0.76
    undown
    0.74
    VL
    0.73
    areth
    0.71
    istas
    0.71
    terday
    0.70
    Activations Density 0.000%

    No Known Activations