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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. 0-RES-JB
    11. 15135
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    Explanations

    mentions of specific sports drafts, particularly in the NHL

    oai_token-act-pair · gpt-3.5-turbo

    references to sports drafts, particularly their importance and specific details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     oper
    -0.74
     cath
    -0.68
    alus
    -0.64
     nun
    -0.64
     shr
    -0.64
     symp
    -0.63
     positively
    -0.63
    cule
    -0.62
    ently
    -0.62
     queens
    -0.62
    POSITIVE LOGITS
     Draft
    3.91
    Draft
    3.14
     draft
    2.55
    draft
    2.41
     drafts
    2.40
     drafting
    1.87
     drafted
    1.63
     dra
    1.50
    RAFT
    1.32
     Playoffs
    1.28
    Activations Density 0.010%

    No Known Activations