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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. 4-RES-JB
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    Explanations

    specific mentions of draft picks in sports context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related 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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lapt
    -0.83
    STD
    -0.79
    fo
    -0.76
     hem
    -0.76
    test
    -0.75
    igi
    -0.74
    iments
    -0.74
    pmwiki
    -0.71
     interf
    -0.67
    okin
    -0.67
    POSITIVE LOGITS
    士
    0.85
     Rica
    0.84
     Tackle
    0.79
     cornerback
    0.77
     (#
    0.73
     undrafted
    0.73
     Ake
    0.72
     Tradable
    0.72
     Disciple
    0.71
     Colt
    0.71
    Activations Density 0.047%

    No Known Activations