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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. 8951
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    Explanations

    references to specific years or seasons within a context of announcements, releases, or events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and events related to sports or competitions

    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
    ugar
    -0.72
    leave
    -0.68
     ancest
    -0.67
    lying
    -0.66
    lev
    -0.66
    terday
    -0.65
    hed
    -0.65
    akov
    -0.64
    avage
    -0.63
    ierrez
    -0.63
    POSITIVE LOGITS
     edition
    0.94
    -'
    0.87
    å¹
    0.85
     season
    0.84
     Playoffs
    0.80
     WCS
    0.80
     outlook
    0.78
    âĢ²
    0.78
     Ranked
    0.74
     NFL
    0.74
    Activations Density 0.138%

    No Known Activations