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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. 11-RES-JB
    6. 10424
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    Explanations

    words related to technology and technical terms, especially those starting with "E"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or entities denoted by 'E' followed by numbers

    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
     Ashton
    -0.67
     interviewing
    -0.63
     instant
    -0.61
     Aph
    -0.61
     sooner
    -0.60
     Akron
    -0.60
     excessively
    -0.60
     names
    -0.60
     Kenobi
    -0.60
     voices
    -0.60
    POSITIVE LOGITS
    cosystem
    1.35
    nerg
    1.29
    ighty
    1.25
    fficient
    1.23
    tymology
    1.21
    ASY
    1.21
    CHO
    1.18
    thereal
    1.17
    minent
    1.15
    rika
    1.15
    Activations Density 0.024%

    No Known Activations