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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. 6-RES-JB
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    Explanations

    the name "Walsh"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Walsh."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.80
     coerc
    -0.79
    olas
    -0.74
     attendant
    -0.73
    etsk
    -0.73
     rall
    -0.73
    ĪĴ
    -0.72
    arily
    -0.72
     explanatory
    -0.71
    ships
    -0.71
    POSITIVE LOGITS
    enegger
    0.87
    enance
    0.87
    bands
    0.84
    tons
    0.79
    restling
    0.78
     Walsh
    0.77
    ford
    0.77
    gaard
    0.76
    robe
    0.75
     Baldwin
    0.74
    Activations Density 0.046%

    No Known Activations