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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. 5-RES-JB
    6. 5191
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    INDEX
    Explanations

    references to numerical figures related to percentages or quantities

    oai_token-act-pair · gpt-3.5-turbo

    the percentage of a whole represented by the number 90

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lay
    -0.80
    wan
    -0.79
    board
    -0.75
    lish
    -0.73
    holder
    -0.73
    pocket
    -0.72
    holding
    -0.70
    stand
    -0.70
    maid
    -0.70
    REDACTED
    -0.69
    POSITIVE LOGITS
    orsi
    0.90
    80
    0.86
    idth
    0.86
     degrees
    0.84
    º
    0.82
    %"
    0.82
    ruciating
    0.80
    °
    0.80
    %:
    0.80
    olt
    0.79
    Activations Density 0.042%

    No Known Activations