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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. 11-RES-JB
    11. 1475
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    Explanations

    technical terms or measurements related to data and information processing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurements and processes in formal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    metics
    -0.74
    kies
    -0.73
    enegger
    -0.72
    aspers
    -0.71
    rition
    -0.71
    addons
    -0.71
    akia
    -0.70
    aucuses
    -0.68
    olics
    -0.68
    olen
    -0.68
    POSITIVE LOGITS
     technique
    1.20
     process
    1.12
     mechanism
    1.12
     scheme
    1.04
     method
    1.03
     procedure
    1.00
     Technique
    0.97
     ceremony
    0.96
     spree
    0.95
     tool
    0.94
    Activations Density 0.450%

    No Known Activations