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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. 3-RES-JB
    11. 4358
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    INDEX
    Explanations

    references to digital content

    oai_token-act-pair · gpt-3.5-turbo

    terms related to online content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rolet
    -0.84
    udeb
    -0.77
    Äĩ
    -0.73
    vals
    -0.68
     Prescott
    -0.68
    arb
    -0.64
    arity
    -0.63
     Dj
    -0.62
     Mercury
    -0.62
    Ĭ±
    -0.61
    POSITIVE LOGITS
    Content
    1.04
     Content
    1.00
     Contents
    0.91
    content
    0.84
    Delivery
    0.78
    iar
    0.77
    edly
    0.76
     Piercing
    0.76
     Thumbnails
    0.75
    ious
    0.74
    Activations Density 0.019%

    No Known Activations