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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. 6-RES-JB
    6. 19676
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    Explanations

    phrases indicating searching or attempting different things

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve the action of seeking or looking for something

    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
    cious
    -0.75
    aving
    -0.73
    antry
    -0.72
    istor
    -0.67
    emi
    -0.65
    parable
    -0.64
     princip
    -0.63
     fabrication
    -0.63
    VA
    -0.63
    eries
    -0.63
    POSITIVE LOGITS
    fitted
    0.74
    grown
    0.70
    casts
    0.68
     è£ıè
    0.67
    skirts
    0.67
    stretched
    0.66
     Eck
    0.65
    ITNESS
    0.65
    )=(
    0.64
    sites
    0.61
    Activations Density 0.024%

    No Known Activations