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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. 7-RES-JB
    6. 6692
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    INDEX
    Explanations

    mention of URLs and possibly formatting symbols

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases or expressions of emotion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hement
    -0.91
    ensibly
    -0.76
    abwe
    -0.73
     centrally
    -0.69
     estranged
    -0.69
    ulkan
    -0.66
    avorite
    -0.65
     antit
    -0.65
    olicy
    -0.65
    ocating
    -0.64
    POSITIVE LOGITS
    Anyway
    1.06
    ³³³³³³³³³³³³³³³³
    1.00
    ³³³³
    0.95
    ³³³³³³³³
    0.95
     Anyway
    0.95
    âĶĢâĶĢâĶĢâĶĢ
    0.91
    ³³³
    0.87
    rawdownloadcloneembedreportprint
    0.83
    âĹ¼
    0.82
    ³³
    0.80
    Activations Density 0.374%

    No Known Activations