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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
    11. 23863
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    Explanations

    references to specific picks in drafts, particularly in sports contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to draft picks in sports contexts

    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
    sth
    -0.79
     bowel
    -0.74
     lapt
    -0.74
    interrupted
    -0.73
    urst
    -0.70
    fing
    -0.69
    cers
    -0.68
     tempor
    -0.66
    igi
    -0.66
    english
    -0.65
    POSITIVE LOGITS
     (#
    0.86
     picks
    0.85
     lottery
    0.80
     undrafted
    0.78
     pick
    0.77
    士
    0.76
     Rica
    0.75
    Ö¼
    0.75
     compens
    0.75
     waivers
    0.75
    Activations Density 0.035%

    No Known Activations