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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. 5-RES-JB
    6. 16374
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    Explanations

    keywords related to molecules and molecular structures

    oai_token-act-pair · gpt-3.5-turbo

    references to molecules and their interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.83
    į
    -0.83
    shire
    -0.81
    ership
    -0.79
    Disney
    -0.78
    ²
    -0.77
    san
    -0.77
     Freddy
    -0.74
    ij士
    -0.73
    RM
    -0.72
    POSITIVE LOGITS
    cules
    1.39
     molecules
    1.28
     molecule
    1.23
     nitrogen
    1.06
    cule
    0.94
     oxygen
    0.92
     oxide
    0.89
     chemically
    0.85
     atoms
    0.85
     chemistry
    0.85
    Activations Density 0.014%

    No Known Activations