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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. 0-RES-JB
    6. 4740
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    Explanations

    words related to development or changes over time

    oai_token-act-pair · gpt-3.5-turbo

    words related to emotional states or reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WR
    -0.69
     Shannon
    -0.68
    é¾įå
    -0.64
     Hawai
    -0.62
     defending
    -0.62
     NS
    -0.60
    VID
    -0.59
     Beth
    -0.58
     Io
    -0.58
     Saras
    -0.58
    POSITIVE LOGITS
    ement
    4.90
    ements
    3.57
    EMENT
    2.23
    ments
    1.57
    ment
    1.45
    ament
    1.25
    iment
    1.17
    mentation
    1.12
    ental
    1.11
    lement
    1.10
    Activations Density 0.007%

    No Known Activations