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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. 1-RES-JB
    11. 828
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    Explanations

    references to the term "GP" or related terms like "General Practitioner"

    oai_token-act-pair · gpt-3.5-turbo

    references to "GP" or "Grand Prix" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jolly
    -0.72
    amus
    -0.70
    hawks
    -0.64
    Else
    -0.64
    lang
    -0.62
    icators
    -0.62
     Crom
    -0.62
    ger
    -0.61
    cott
    -0.59
    TextColor
    -0.59
    POSITIVE LOGITS
     GP
    1.23
    GP
    1.04
     Prix
    0.82
    poral
    0.74
    Ps
    0.74
     lapt
    0.73
    ross
    0.73
    allery
    0.72
     Pavilion
    0.68
     compressor
    0.67
    Activations Density 0.006%

    No Known Activations