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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. 4-RES-JB
    11. 1158
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    Explanations

    book titles and related phrases

    oai_token-act-pair · gpt-3.5-turbo

    titles of books and related literary references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     brush
    -0.73
     eater
    -0.71
    chini
    -0.65
     brushes
    -0.65
     teased
    -0.65
     gasped
    -0.65
     guessed
    -0.65
     <[
    -0.64
     balcon
    -0.64
    aws
    -0.64
    POSITIVE LOGITS
     Volume
    0.92
     Techniques
    0.91
     Preferences
    0.82
     Collection
    0.82
     Instrument
    0.80
     Directorate
    0.80
     Organisation
    0.80
     Definitive
    0.80
     Liberation
    0.79
     Instit
    0.79
    Activations Density 0.430%

    No Known Activations