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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 1988
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    INDEX
    Explanations

    references to specific numerical values or measurements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating approximate quantities or estimates

    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
    nor
    -0.81
    iator
    -0.77
    ionics
    -0.68
    ilee
    -0.67
    ente
    -0.65
    rez
    -0.65
    inventoryQuantity
    -0.65
    elight
    -0.63
    hend
    -0.62
    nil
    -0.62
    POSITIVE LOGITS
     roughly
    3.00
     approximately
    1.95
     loosely
    1.54
     approximate
    1.47
     nearly
    1.46
    approximately
    1.45
    roximately
    1.39
    rough
    1.35
     Approximately
    1.32
     âĪ¼
    1.29
    Activations Density 0.011%

    No Known Activations