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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. 24289
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    INDEX
    Explanations

    words related to chemical compounds, reactions, and elements

    oai_token-act-pair · gpt-3.5-turbo

    chemical compounds and their interactions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Privacy
    -0.91
    HUD
    -0.90
    practice
    -0.85
    soDeliveryDate
    -0.83
    Mobile
    -0.79
     curfew
    -0.79
    authorized
    -0.77
    FontSize
    -0.76
    luck
    -0.74
     Instructor
    -0.74
    POSITIVE LOGITS
     molecules
    1.45
     molecule
    1.31
     atoms
    1.30
     amino
    1.29
     nitrogen
    1.28
     ions
    1.23
     residues
    1.22
     salts
    1.19
     sugars
    1.18
     ammon
    1.18
    Activations Density 0.368%

    No Known Activations