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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. 6-RES-JB
    11. 3737
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    Explanations

    matches related to sports match-ups

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating competitive matchups or confrontations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     liner
    -0.78
    spot
    -0.71
    oola
    -0.66
    metry
    -0.66
    shire
    -0.66
    inary
    -0.65
    suggest
    -0.65
    beans
    -0.65
    bean
    -0.64
     bearings
    -0.64
    POSITIVE LOGITS
    creen
    0.75
    ampa
    0.67
     RHP
    0.67
    .,
    0.65
    illa
    0.61
    illas
    0.60
    hew
    0.58
     HT
    0.58
    HS
    0.57
     NYC
    0.57
    Activations Density 0.018%

    No Known Activations