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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. 11-RES-JB
    11. 5830
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    Explanations

    introductions to examples or explanations

    oai_token-act-pair · gpt-3.5-turbo

    the word "For" at the beginning of statements or clauses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     (=
    -0.69
    zona
    -0.65
    è¦ļéĨĴ
    -0.65
    marine
    -0.61
    Interstitial
    -0.61
    eded
    -0.60
    LAB
    -0.60
    BOOK
    -0.60
    soDeliveryDate
    -0.59
    SELECT
    -0.58
    POSITIVE LOGITS
     starters
    1.36
     instance
    1.33
    cing
    1.32
     example
    1.29
    ced
    1.20
    bes
    1.18
    gotten
    1.14
    bidden
    1.11
    get
    1.09
    give
    1.08
    Activations Density 0.056%

    No Known Activations