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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. 11-RES-JB
    11. 23820
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    Explanations

    years in the context of sports events or seasons

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and associated sports events or seasons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.63
     nowadays
    -0.61
     lately
    -0.61
    oxide
    -0.61
    xual
    -0.60
     today
    -0.60
    rapnel
    -0.60
    atter
    -0.59
    evil
    -0.57
    ources
    -0.57
    POSITIVE LOGITS
     edition
    1.00
    -'
    0.98
     season
    0.95
     calendar
    0.85
     campaign
    0.83
     Olympics
    0.82
     iteration
    0.81
    âĢij
    0.76
     Winter
    0.76
     crop
    0.76
    Activations Density 0.083%

    No Known Activations