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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. 3802
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    Explanations

    descriptions of sports events and plays, particularly focusing on specific moments and outcomes

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

    sports-related events and actions

    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
    Wiki
    -0.67
    izoph
    -0.65
     Chapters
    -0.64
    othing
    -0.63
    Documents
    -0.62
    arers
    -0.61
    csv
    -0.60
    AppData
    -0.60
     Flavoring
    -0.60
    netflix
    -0.59
    POSITIVE LOGITS
     attempt
    0.99
     breakup
    0.95
    pletion
    0.92
     midway
    0.88
    away
    0.80
    assisted
    0.80
     dunk
    0.78
     late
    0.77
     assisted
    0.76
    down
    0.76
    Activations Density 0.133%

    No Known Activations