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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. 13360
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    Explanations

    references to digital content

    oai_token-act-pair · gpt-3.5-turbo

    references to digital content and its various forms

    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
     Methodist
    -0.78
    orst
    -0.73
    hurst
    -0.70
    Emergency
    -0.69
    illion
    -0.68
    uni
    -0.68
    apo
    -0.68
    quart
    -0.67
     Called
    -0.67
    oche
    -0.65
    POSITIVE LOGITS
     content
    3.77
     Content
    2.78
    content
    2.27
    Content
    2.19
     contents
    2.16
     Contents
    1.32
     material
    1.31
     CONT
    1.17
     text
    1.09
     subscriber
    1.03
    Activations Density 0.020%

    No Known Activations