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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. 20939
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    Explanations

    terms related to decision-making, problem-solving, and issues that require resolution

    oai_token-act-pair · gpt-3.5-turbo

    terms related to decision-making and problem-solving processes

    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
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    No Comments

    Negative Logits
    hip
    -0.66
    creen
    -0.65
     Kejriwal
    -0.65
    cale
    -0.64
     Sturgeon
    -0.64
    ync
    -0.61
    heet
    -0.61
     Poe
    -0.60
    uncle
    -0.60
     Neville
    -0.60
    POSITIVE LOGITS
    making
    0.89
    makers
    0.89
     makers
    0.88
    books
    0.81
     sizes
    0.80
     seekers
    0.80
    breakers
    0.80
    chains
    0.79
    building
    0.78
    ãĥ´
    0.78
    Activations Density 0.443%

    No Known Activations