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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. 10-RES-JB
    11. 3389
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    INDEX
    Explanations

    mentions of technological advancements

    oai_token-act-pair · gpt-3.5-turbo

    references to technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.78
    ership
    -0.74
    lein
    -0.71
    ibli
    -0.69
    naire
    -0.67
    ãĤ¡
    -0.66
    atari
    -0.64
    alam
    -0.64
    owl
    -0.63
    hus
    -0.63
    POSITIVE LOGITS
     advancements
    1.23
     innovation
    1.06
    ologies
    1.00
     innovations
    1.00
     innov
    0.96
     advances
    0.96
     savvy
    0.94
     gadgets
    0.91
     advancement
    0.90
     technologies
    0.88
    Activations Density 0.056%

    No Known Activations