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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. 3
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    Explanations

    questions ending in a question mark

    oai_token-act-pair · gpt-3.5-turbo

    questions related to the consequences or implications of various topics

    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
    agos
    -0.78
     carbohyd
    -0.78
     transition
    -0.73
     slightest
    -0.72
    rael
    -0.71
     exting
    -0.70
    rontal
    -0.68
     fused
    -0.67
     bonded
    -0.67
    oki
    -0.67
    POSITIVE LOGITS
     Well
    1.77
     Firstly
    1.41
    Well
    1.37
     Probably
    1.34
     Quite
    1.33
     Apparently
    1.33
     Surely
    1.32
     Plenty
    1.32
     Answer
    1.30
     Certainly
    1.28
    Activations Density 0.082%

    No Known Activations