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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. 9-RES-JB
    11. 10165
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    Explanations

    exclamatory expressions or interjections

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically exclamation marks and periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     necess
    -0.82
     accomp
    -0.78
     favoring
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     surpr
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     plagued
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     exting
    -0.67
    ittered
    -0.67
     administ
    -0.67
     enriched
    -0.66
     targ
    -0.65
    POSITIVE LOGITS
     Didn
    1.11
     You
    1.09
     Alright
    1.08
     Anyway
    1.08
     There
    1.07
     Looks
    1.05
     Lots
    1.04
     Somebody
    1.03
     Sorry
    1.03
     Seriously
    1.03
    Activations Density 0.263%

    No Known Activations