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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. 12-RES-JB
    11. 2752
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    Explanations

    mentions of draft selections and picks in professional sports

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    details related to draft picks and selections in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    rums
    -0.66
    fo
    -0.64
    bara
    -0.63
     Documentation
    -0.62
    zee
    -0.60
    isoft
    -0.60
    ciating
    -0.60
     weap
    -0.59
    kat
    -0.59
    bur
    -0.59
    POSITIVE LOGITS
     (#
    1.02
     overall
    0.95
     out
    0.90
    rafted
    0.88
     seventh
    0.83
     sixth
    0.82
     picked
    0.78
     compens
    0.78
     pick
    0.77
     acquired
    0.77
    Activations Density 0.101%

    No Known Activations