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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. 2-RES-JB
    11. 16017
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    Explanations

    words related to a specific physical location or website

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific location or site

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unfocusedRange
    -0.92
    olyn
    -0.82
    olulu
    -0.81
    ornia
    -0.78
    BuyableInstoreAndOnline
    -0.77
    hips
    -0.74
    hma
    -0.73
    inois
    -0.73
    lass
    -0.67
    icipated
    -0.67
    POSITIVE LOGITS
     site
    1.00
     sites
    0.96
    keeper
    0.84
    antry
    0.81
    pages
    0.80
     Site
    0.80
    Site
    0.80
     listings
    0.77
    bench
    0.74
    keepers
    0.72
    Activations Density 0.025%

    No Known Activations