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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. 9-RES-JB
    11. 23797
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    Explanations

    adjectives used to describe emotions or experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expressing complex feelings and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     manned
    -0.68
     pract
    -0.63
    stead
    -0.62
     practiced
    -0.62
    rican
    -0.61
     scaven
    -0.60
     repaired
    -0.59
     instructed
    -0.57
     persisted
    -0.57
     repr
    -0.57
    POSITIVE LOGITS
     why
    0.91
     how
    0.89
    why
    0.88
     whats
    0.78
     irony
    0.78
     WHY
    0.72
    how
    0.69
    enance
    0.69
     what
    0.69
    FontSize
    0.68
    Activations Density 0.266%

    No Known Activations