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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. 10-RES-JB
    11. 6921
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    Explanations

    statistics or numerical data

    oai_token-act-pair · gpt-3.5-turbo

    words related to measurements, quantities, and job statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mentality
    -0.73
    eda
    -0.70
     Approach
    -0.69
    uberty
    -0.69
     mindset
    -0.68
    ulture
    -0.67
     adversity
    -0.67
     backdrop
    -0.67
    apego
    -0.65
    apa
    -0.65
    POSITIVE LOGITS
     acres
    1.33
     pounds
    1.14
     miles
    1.11
     units
    1.05
     hectares
    1.05
     tonnes
    1.03
     ounces
    1.02
     entries
    1.00
     gallons
    0.99
     kilograms
    0.98
    Activations Density 0.281%

    No Known Activations