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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. 8-RES-JB
    11. 10670
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    Explanations

    mentions of different types of medals, particularly gold and bronze

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Olympic medals and achievements in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rir
    -0.80
    document
    -0.70
    nu
    -0.64
    lder
    -0.63
     Orig
    -0.62
    BOOK
    -0.62
     Loud
    -0.61
     Wed
    -0.61
     PLAN
    -0.61
    scripts
    -0.60
    POSITIVE LOGITS
     medal
    1.16
     medals
    1.07
     Medal
    0.96
    animous
    0.90
     awarded
    0.87
    naire
    0.80
    ificent
    0.79
    inal
    0.78
    inals
    0.78
    cake
    0.78
    Activations Density 0.031%

    No Known Activations