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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. 8109
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    Explanations

    descriptions related to size, ranking, or comparison

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating comparisons based on numerical or statistical metrics

    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
    bring
    -0.73
     largeDownload
    -0.67
    pots
    -0.66
    Tex
    -0.66
    Ill
    -0.65
    ati
    -0.65
    idad
    -0.63
    SPONSORED
    -0.63
    gan
    -0.63
    fo
    -0.62
    POSITIVE LOGITS
     virtue
    1.35
     comparison
    1.24
     contrast
    1.14
    products
    1.10
     implication
    0.98
     default
    0.95
     2050
    0.91
    product
    0.91
    catch
    0.90
     definition
    0.87
    Activations Density 0.064%

    No Known Activations