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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2611
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    INDEX
    Explanations

    the keyword "thousands of"

    oai_token-act-pair · gpt-3.5-turbo

    phrases quantifying large collections or groups of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acea
    -0.71
    chart
    -0.68
     ([
    -0.65
     fundament
    -0.63
    Prov
    -0.63
    ħĭ
    -0.62
    SourceFile
    -0.61
    most
    -0.61
     Ratio
    -0.61
    verages
    -0.61
    POSITIVE LOGITS
     thousands
    1.01
     miles
    0.96
     acres
    0.92
     kilometers
    0.87
     pounds
    0.86
     hectares
    0.82
     consecutive
    0.80
     gallons
    0.80
     dollars
    0.78
     kilometres
    0.77
    Activations Density 0.062%

    No Known Activations