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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. 10-RES-JB
    6. 15915
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    INDEX
    Explanations

    terms related to chemical compounds and reactions

    oai_token-act-pair · gpt-3.5-turbo

    chemical processes and interactions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Kids
    -0.64
     Dare
    -0.63
     Scores
    -0.62
     Kids
    -0.61
     Teachers
    -0.61
     titles
    -0.61
    Parents
    -0.59
     rosters
    -0.59
     Lessons
    -0.57
    practice
    -0.56
    POSITIVE LOGITS
     electrons
    1.35
     gases
    1.25
     ions
    1.25
     hydrogen
    1.21
     oxid
    1.19
     photons
    1.19
     electron
    1.18
     electromagnetic
    1.17
     ion
    1.17
     combustion
    1.15
    Activations Density 0.647%

    No Known Activations