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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 632
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    INDEX
    Explanations

    questions and responses from a structured conversation

    oai_token-act-pair · gpt-3.5-turbo

    question formats and references to inquiries or prompts

    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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    No Comments

    Negative Logits
     revel
    -0.70
    angering
    -0.69
     outweigh
    -0.69
     bloom
    -0.68
     doomed
    -0.68
    utton
    -0.68
    aden
    -0.67
     overshadow
    -0.66
     stakes
    -0.66
     culmin
    -0.65
    POSITIVE LOGITS
    Hello
    1.35
     Hi
    1.30
    Hi
    1.28
     Hello
    1.25
    reetings
    1.14
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    1.08
    Question
    1.06
    Dear
    1.05
    Hey
    1.03
     Okay
    1.02
    Activations Density 0.138%

    No Known Activations