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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. 11-RES-JB
    11. 5289
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    Explanations

    expressions of gratitude or thanks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude or thanks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ually
    -0.56
     hemor
    -0.55
     neighb
    -0.54
     challeng
    -0.53
     preached
    -0.52
     Nanto
    -0.52
     occas
    -0.52
     magnets
    -0.52
     eleph
    -0.51
     redress
    -0.50
    POSITIVE LOGITS
    govtrack
    0.60
     Cosponsors
    0.58
    ctory
    0.57
    wcsstore
    0.57
    pour
    0.57
    ãĥĢ
    0.57
    groupon
    0.55
    Reviewer
    0.55
    interstitial
    0.54
    LCS
    0.53
    Activations Density 0.018%

    No Known Activations