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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. 8-RES-JB
    6. 1560
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    INDEX
    Explanations

    terms related to urging action or emphasizing importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express strong sentiments or opinions about specific elements or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exting
    -0.83
    ÃĥÃĤ
    -0.80
    senal
    -0.75
     subur
    -0.73
    oÄŁ
    -0.72
    Course
    -0.70
    Tu
    -0.70
    çīĪ
    -0.70
    FP
    -0.69
    bart
    -0.69
    POSITIVE LOGITS
     redeem
    0.77
     lesson
    0.76
     tribute
    0.74
     formula
    0.73
     takeaway
    0.71
     distinguishing
    0.69
     prophecy
    0.69
     defining
    0.69
     irony
    0.68
     consistency
    0.68
    Activations Density 0.165%

    No Known Activations