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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. 2-RES-JB
    6. 3015
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    INDEX
    Explanations

    phrases related to dialogue, specifically indicating who is speaking

    oai_token-act-pair · gpt-3.5-turbo

    colons preceding statements or questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    undai
    -0.82
    oes
    -0.81
    ĸļ
    -0.78
     tremend
    -0.77
    inement
    -0.71
    ivable
    -0.70
    oud
    -0.70
    itage
    -0.70
    oser
    -0.69
     fres
    -0.69
    POSITIVE LOGITS
     Bye
    0.92
    YES
    0.91
     TBD
    0.87
     Provided
    0.86
    ³³³³³³³³³³³³³³³³
    0.82
     Yeah
    0.79
     Logged
    0.79
     Why
    0.76
     Continued
    0.76
     Originally
    0.75
    Activations Density 0.270%

    No Known Activations