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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. 78
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    Explanations

    action words that indicate providing information or instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating guidance or offering suggestions

    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
    natureconservancy
    -0.75
    selves
    -0.62
     polic
    -0.57
    ansion
    -0.56
    alties
    -0.56
    wcsstore
    -0.56
    tesque
    -0.54
    artifacts
    -0.54
     disadvant
    -0.53
     territorial
    -0.53
    POSITIVE LOGITS
     you
    1.60
     readers
    1.38
    you
    1.35
     YOU
    1.30
     ya
    1.14
    You
    1.09
    yout
    1.08
     reader
    1.07
     You
    1.07
    YOU
    1.05
    Activations Density 0.365%

    No Known Activations