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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. 11-RES-JB
    11. 1066
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    Explanations

    mentions of penalty situations in sports

    oai_token-act-pair · gpt-3.5-turbo

    terms related to penalties in sports, particularly soccer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    ONSORED
    -0.81
    pocket
    -0.76
    âĸĪâĸĪâĸĪâĸĪ
    -0.74
    bian
    -0.71
    yll
    -0.71
     è£ıè
    -0.70
     Nim
    -0.69
    endor
    -0.69
    orph
    -0.69
    ritis
    -0.67
    POSITIVE LOGITS
     shootout
    0.91
     shoot
    0.83
     knockout
    0.80
     elimination
    0.80
     elim
    0.78
     kick
    0.76
     killers
    0.74
     box
    0.73
     assessed
    0.70
     kill
    0.68
    Activations Density 0.063%

    No Known Activations