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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. 9-RES-JB
    6. 22596
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    Explanations

    phrases related to guidelines, instructions, or rules

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and their associated concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.75
    ennes
    -0.72
     Leilan
    -0.68
    ,...
    -0.64
     =================================================================
    -0.64
    utical
    -0.64
     parting
    -0.62
     concluding
    -0.61
    tsky
    -0.60
    ĸļ
    -0.60
    POSITIVE LOGITS
    ³³³³
    0.85
    ³³³³³³³³
    0.84
    ³³³
    0.83
    ̶
    0.76
    ³³³³³³³³³³³³³³³³
    0.71
    Avg
    0.69
    oss
    0.67
    Database
    0.66
    Limit
    0.64
    Ability
    0.63
    Activations Density 0.203%

    No Known Activations