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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 196
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    Explanations

    questions or statements expressing curiosity about future outcomes

    oai_token-act-pair · gpt-3.5-turbo

    questions and phrases expressing curiosity about future events or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arest
    -0.68
    GV
    -0.66
     WATCHED
    -0.65
    ansom
    -0.65
     cautioned
    -0.63
    question
    -0.63
    ashington
    -0.63
     guiActiveUn
    -0.62
     Nonetheless
    -0.61
    stated
    -0.61
    POSITIVE LOGITS
     happens
    1.02
     unfolds
    0.85
     develops
    0.83
     shenanigans
    0.83
     pops
    0.81
     others
    0.74
     pans
    0.73
     else
    0.73
     reactions
    0.70
     happen
    0.70
    Activations Density 0.071%

    No Known Activations