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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. 4-RES-JB
    11. 15760
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    references to websites

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific website or site-related content

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

    Negative Logits
     unfocusedRange
    -0.84
    olyn
    -0.73
    inois
    -0.71
     actionGroup
    -0.68
    olulu
    -0.67
    ornia
    -0.66
    lass
    -0.65
    enser
    -0.65
     cylinders
    -0.64
    fle
    -0.64
    POSITIVE LOGITS
    osphere
    0.89
    izen
    0.84
    erv
    0.84
     www
    0.82
    pages
    0.81
     site
    0.79
     homepage
    0.79
    browser
    0.78
     Gutenberg
    0.76
    geist
    0.76
    Activations Density 0.022%

    No Known Activations