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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. 10-RES-JB
    11. 8058
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    Explanations

    informative or descriptive phrases that should be noted or emphasized

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas and parentheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rup
    -0.74
    everal
    -0.74
    èĢħ
    -0.70
    ļéĨĴ
    -0.69
    irie
    -0.66
    avid
    -0.65
    reprene
    -0.64
    jug
    -0.64
    encia
    -0.64
    yon
    -0.63
    POSITIVE LOGITS
     but
    1.39
     though
    1.24
     haha
    1.20
    but
    1.14
     BUT
    1.12
     although
    1.11
     because
    1.08
     however
    1.06
     especially
    1.05
     depending
    1.03
    Activations Density 0.260%

    No Known Activations