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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. 5-RES-JB
    6. 6792
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    Explanations

    proper nouns, likely related to names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    references to surveillance and public exposure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sylv
    -0.52
    farious
    -0.51
    rium
    -0.49
     awa
    -0.48
    Loading
    -0.48
    chuk
    -0.47
     Vaugh
    -0.45
    ploma
    -0.44
    romeda
    -0.44
    igmat
    -0.42
    POSITIVE LOGITS
     largeDownload
    0.51
    bably
    0.49
    pmwiki
    0.47
     è£ıè
    0.47
     Preferred
    0.47
     âĢº
    0.46
    fecture
    0.45
     ARM
    0.45
    disk
    0.44
     brute
    0.43
    Activations Density 1.779%

    No Known Activations