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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. 11219
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    Explanations

    the word 'dozen'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to counting or quantifying groups of items or people

    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
    ãĥ¼ãĥ«
    -0.82
    ITS
    -0.70
    lights
    -0.69
    its
    -0.66
    pants
    -0.65
    bas
    -0.65
    lance
    -0.63
    poses
    -0.62
    eatures
    -0.61
    powers
    -0.61
    POSITIVE LOGITS
     different
    1.06
     dozen
    1.05
     distinct
    1.00
     apiece
    0.97
     consecutive
    0.96
     separate
    0.96
     successive
    0.88
    dozen
    0.87
     simultaneous
    0.87
     thousand
    0.82
    Activations Density 0.216%

    No Known Activations