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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. 11670
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    INDEX
    Explanations

    measurements and quantities expressed in numerical form

    oai_token-act-pair · gpt-3.5-turbo

    quantities and measurements related to substances or compounds

    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
     homelessness
    -0.67
     abolition
    -0.67
     projection
    -0.67
     exodus
    -0.66
     retire
    -0.65
     retirement
    -0.65
     prosperity
    -0.64
     Finance
    -0.64
     forecasting
    -0.63
     modernization
    -0.62
    POSITIVE LOGITS
     grams
    1.53
    mg
    1.53
     mg
    1.40
     ppm
    1.36
    ml
    1.32
     ounces
    1.31
     μg
    1.30
    mL
    1.28
     ml
    1.28
     mmol
    1.25
    Activations Density 0.132%

    No Known Activations