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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. 1100
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    INDEX
    Explanations

    quantitative descriptions, comparisons, and measurements

    oai_token-act-pair · gpt-3.5-turbo

    specific quantities and measurements related to size or proportion

    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
    abilities
    -0.73
     Prompt
    -0.71
     queues
    -0.68
    ongo
    -0.66
    values
    -0.64
    inations
    -0.61
     Blues
    -0.61
    lies
    -0.60
     motivations
    -0.60
     Nightmares
    -0.60
    POSITIVE LOGITS
     inch
    1.51
     tenth
    1.40
     metre
    1.35
     kilomet
    1.31
     ounce
    1.28
     meter
    1.27
     dime
    1.25
     mile
    1.24
     teasp
    1.23
     cent
    1.23
    Activations Density 0.192%

    No Known Activations