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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. 2-RES-JB
    11. 21571
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    INDEX
    Explanations

    information related to weight, specifically pounds

    oai_token-act-pair · gpt-3.5-turbo

    quantitative references to weight in pounds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.82
     WARN
    -0.75
     Acad
    -0.73
    pmwiki
    -0.70
    mberg
    -0.70
    actionDate
    -0.67
    gotten
    -0.67
    yrinth
    -0.64
    anwhile
    -0.63
    mentioned
    -0.62
    POSITIVE LOGITS
     sterling
    1.25
     pounds
    1.19
     lbs
    1.00
    lbs
    0.98
    pound
    0.91
     pound
    0.89
     weight
    0.86
     kilograms
    0.84
    hops
    0.83
     heavier
    0.83
    Activations Density 0.008%

    No Known Activations