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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. 10-RES-JB
    6. 22306
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    Explanations

    personal names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "L"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Subtle
    -0.73
     prohibition
    -0.72
     Prohibition
    -0.70
     boundaries
    -0.70
     compensated
    -0.65
     spirited
    -0.62
     Hole
    -0.61
    grass
    -0.61
     buck
    -0.60
     correctness
    -0.60
    POSITIVE LOGITS
    incoln
    1.41
    yrics
    1.40
    ONDON
    1.37
    opez
    1.30
    aptop
    1.26
    ateral
    1.26
    ifestyle
    1.26
    ongevity
    1.24
    IFE
    1.23
    adies
    1.21
    Activations Density 0.038%

    No Known Activations