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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. 1-RES-JB
    11. 23216
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    INDEX
    Explanations

    phrases describing seasonal variations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to seasonal phenomena and changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raged
    -0.76
    ifice
    -0.72
    itsch
    -0.71
    hua
    -0.70
    rieg
    -0.69
    leon
    -0.69
    rollers
    -0.68
    yers
    -0.68
    olesterol
    -0.68
    nai
    -0.68
    POSITIVE LOGITS
     seasonal
    1.21
     experien
    0.88
     adjustment
    0.87
     vegetables
    0.83
     mosqu
    0.79
     fluctuations
    0.78
     unsus
    0.75
     grazing
    0.74
     migrant
    0.74
     earthqu
    0.73
    Activations Density 0.012%

    No Known Activations