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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. 8584
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    Explanations

    adjectives describing importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significance or prominence

    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
     Engineers
    -0.68
    Engineers
    -0.64
    heid
    -0.61
    YING
    -0.60
    leigh
    -0.59
    orses
    -0.57
    nor
    -0.57
    ÃįÃį
    -0.56
    OOOO
    -0.55
    iol
    -0.54
    POSITIVE LOGITS
     notably
    1.04
     notable
    1.02
     example
    0.99
    example
    0.94
     prominently
    0.83
     instance
    0.79
     favorites
    0.79
     particular
    0.79
     noteworthy
    0.78
     Examples
    0.77
    Activations Density 0.298%

    No Known Activations