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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. 5479
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    Explanations

    informal language expressions like "kinda" and "uh"

    oai_token-act-pair · gpt-3.5-turbo

    the word "kinda" and other informal qualifiers, indicating a casual tone

    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
    lain
    -0.87
    inals
    -0.78
    eder
    -0.78
    Journal
    -0.73
    worthiness
    -0.73
    seller
    -0.72
    士
    -0.72
    aer
    -0.72
    enance
    -0.71
    imentary
    -0.71
    POSITIVE LOGITS
     kinda
    1.19
     darn
    0.86
     sort
    0.80
     shit
    0.79
     fuzz
    0.77
     crap
    0.77
     REALLY
    0.76
    sort
    0.75
     vibe
    0.74
     damn
    0.74
    Activations Density 0.006%

    No Known Activations