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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. 0-RES-JB
    11. 13678
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    INDEX
    Explanations

    terms related to size or scale, specifically focusing on things that are described as 'large'

    oai_token-act-pair · gpt-3.5-turbo

    references to "large" or "huge" quantities or sizes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uay
    -0.73
    istry
    -0.67
     eval
    -0.65
     witchcraft
    -0.64
    hon
    -0.64
    isec
    -0.63
     dating
    -0.63
     expectancy
    -0.62
    ety
    -0.62
     mum
    -0.62
    POSITIVE LOGITS
     Large
    3.32
    Large
    3.22
    large
    2.75
    Small
    1.88
     Huge
    1.77
    small
    1.56
     Small
    1.56
    larg
    1.44
     LAR
    1.40
    Medium
    1.35
    Activations Density 0.024%

    No Known Activations