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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. 18569
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    INDEX
    Explanations

    mentions of specific quantities and measurements

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measurements and numerical values

    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
    actionDate
    -0.85
     yours
    -0.67
    âĢ¦]
    -0.64
    sole
    -0.62
    :]
    -0.60
     Religion
    -0.60
     causation
    -0.59
     afar
    -0.59
    someone
    -0.59
     conclusion
    -0.58
    POSITIVE LOGITS
     kilograms
    1.25
     ounces
    1.17
     pounds
    1.10
     tonnes
    1.10
     acres
    1.10
     grams
    1.05
     hectares
    1.03
     litres
    1.03
    lbs
    1.02
     gallons
    1.00
    Activations Density 0.219%

    No Known Activations