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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. 9-RES-JB
    11. 17594
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    Explanations

    mentions of states or regions

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of "states" or references to governmental entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eger
    -0.67
     mast
    -0.65
     Nose
    -0.64
     RTX
    -0.64
     Spit
    -0.63
     Brilliant
    -0.63
     Notting
    -0.63
     istg
    -0.62
    rious
    -0.62
     Insp
    -0.61
    POSITIVE LOGITS
    manship
    1.38
    men
    1.16
    ide
    1.05
     legislatures
    1.05
    man
    0.97
     bordering
    0.88
     legalizing
    0.87
    wide
    0.85
    mate
    0.81
     governments
    0.81
    Activations Density 0.053%

    No Known Activations