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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. 16468
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    questioning and transitional phrases

    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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    Negative Logits
     SAN
    -0.70
    assetsadobe
    -0.68
     Wast
    -0.63
     ENG
    -0.63
     SERVICE
    -0.60
    ãģ®å®
    -0.59
     behav
    -0.59
     EFF
    -0.59
    Enlarge
    -0.59
     jun
    -0.58
    POSITIVE LOGITS
    chin
    0.88
    yton
    0.81
    gger
    0.77
    chid
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    utenberg
    0.76
    lla
    0.74
    kus
    0.73
    cox
    0.73
    ributes
    0.73
    inia
    0.72
    Activations Density 0.141%

    No Known Activations