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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. 17073
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    INDEX
    Explanations

    mentions of websites or online platforms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific websites or sites in general

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     unfocusedRange
    -0.89
    CLASSIFIED
    -0.71
    ornia
    -0.71
     actionGroup
    -0.71
    inois
    -0.70
    olulu
    -0.69
    ordial
    -0.68
    olyn
    -0.68
    hma
    -0.65
    enser
    -0.65
    POSITIVE LOGITS
     site
    0.92
    izen
    0.85
    pages
    0.85
     homepage
    0.84
    osphere
    0.83
     sites
    0.82
     www
    0.82
    erv
    0.82
     administrator
    0.81
    browser
    0.80
    Activations Density 0.027%

    No Known Activations