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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. 1-RES-JB
    11. 7437
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    Explanations

    words related to contexts or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to "context" in various scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    riage
    -0.70
    STON
    -0.65
     streak
    -0.64
    vals
    -0.63
    ealing
    -0.62
     deduct
    -0.61
    aughters
    -0.60
     daughters
    -0.60
    cé
    -0.60
     wives
    -0.59
    POSITIVE LOGITS
     context
    1.21
     Context
    1.03
    context
    0.88
     contexts
    0.87
     contextual
    0.80
    Context
    0.78
    ual
    0.75
    ually
    0.75
    emort
    0.74
    Impl
    0.73
    Activations Density 0.009%

    No Known Activations