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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. 23748
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    Explanations

    instances of the word "vanilla" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    placeholders or delimiters indicating separate entries or items

    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
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    Negative Logits
    lers
    -0.90
    trak
    -0.77
     WATCHED
    -0.77
    aday
    -0.76
    onal
    -0.76
     Cancel
    -0.75
    oning
    -0.74
    anooga
    -0.72
    nor
    -0.72
    thumbnails
    -0.72
    POSITIVE LOGITS
     bean
    1.16
     beans
    0.96
     pudding
    0.95
     flavored
    0.85
     Bean
    0.85
     syrup
    0.84
     extract
    0.82
     Beans
    0.79
     Sparkle
    0.76
     cust
    0.75
    Activations Density 0.073%

    No Known Activations