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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. 7-RES-JB
    11. 5259
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    Explanations

    chemical processes involving the transformation of substances

    oai_token-act-pair · gpt-3.5-turbo

    scientific processes related to energy transfer and chemical reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Franch
    -1.00
     Anniversary
    -0.83
     anniversary
    -0.82
    ploma
    -0.77
    HUD
    -0.77
     Achievements
    -0.76
    DCS
    -0.74
    Privacy
    -0.74
    intend
    -0.73
    soDeliveryDate
    -0.73
    POSITIVE LOGITS
     molecules
    1.23
     electrons
    1.17
     oxygen
    1.16
     gases
    1.15
     nutrients
    1.14
     calcium
    1.13
     acidic
    1.12
    absor
    1.11
     absorbed
    1.11
     molecule
    1.09
    Activations Density 0.981%

    No Known Activations