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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. 3657
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    INDEX
    Explanations

    topics or subjects in written documents

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to reports, bills, and other formal documents or items

    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
    •Voight-Kampff

    No Comments

    Negative Logits
    Unknown
    -0.71
    ĪĴ
    -0.67
     Wrong
    -0.64
     forgetting
    -0.62
     wrong
    -0.61
    dden
    -0.60
    dropping
    -0.59
    wrong
    -0.58
     Remain
    -0.57
    true
    -0.57
    POSITIVE LOGITS
     consists
    1.26
     consisted
    1.21
     comprises
    1.13
     revolves
    1.11
     contains
    1.09
     debuted
    1.07
     includes
    1.02
     utilizes
    0.98
     premiered
    0.97
     combines
    0.97
    Activations Density 0.343%

    No Known Activations