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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. 7-RES-JB
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    Explanations

    references to specific years and sports events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific years related to events or seasons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.77
    krit
    -0.76
    ochet
    -0.75
    ierrez
    -0.74
    phy
    -0.73
    hiba
    -0.71
     ancest
    -0.70
    ique
    -0.70
     hanged
    -0.70
    cooked
    -0.70
    POSITIVE LOGITS
     edition
    1.09
     season
    1.00
     iteration
    0.91
     Olympics
    0.90
     postseason
    0.87
     installment
    0.86
     Playoffs
    0.86
     playoffs
    0.85
     campaign
    0.84
     calendar
    0.83
    Activations Density 0.071%

    No Known Activations