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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. 13853
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    INDEX
    Explanations

    phrases indicating common patterns or routines

    oai_token-act-pair · gpt-3.5-turbo

    statements that emphasize commonality or routine

    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
    iard
    -0.68
    onies
    -0.64
    eworks
    -0.63
     Puzzles
    -0.63
    aukee
    -0.62
    enh
    -0.61
    Enlarge
    -0.61
    eering
    -0.60
    ascript
    -0.60
     sheds
    -0.60
    POSITIVE LOGITS
     customary
    1.22
     evidenced
    1.04
     usual
    1.03
     typical
    0.97
     evident
    0.90
     often
    0.88
     wont
    0.87
     abundantly
    0.83
     tradition
    0.81
     happening
    0.80
    Activations Density 0.064%

    No Known Activations