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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. 17162
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    Explanations

    mentions of draft picks, particularly those in the first round

    oai_token-act-pair · gpt-3.5-turbo

    references to draft picks in sports

    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
    sth
    -0.78
    beh
    -0.76
     Wem
    -0.73
    bara
    -0.72
     sexes
    -0.72
    uras
    -0.70
     Gest
    -0.70
     tempor
    -0.68
    acci
    -0.65
    kens
    -0.64
    POSITIVE LOGITS
    Draft
    0.98
     picks
    0.88
     draft
    0.86
     pick
    0.85
    士
    0.81
     rob
    0.80
     playoff
    0.79
    backer
    0.78
     Draft
    0.77
     runoff
    0.76
    Activations Density 0.027%

    No Known Activations