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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. 21608
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    Explanations

    phrases related to listing items or information in a specified order

    oai_token-act-pair · gpt-3.5-turbo

    references to organized lists or rankings of items

    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
    ivering
    -0.68
    Jet
    -0.68
    xit
    -0.68
    enance
    -0.67
    Fax
    -0.65
    incible
    -0.64
     Nah
    -0.64
     breaching
    -0.63
    inea
    -0.63
    ibur
    -0.62
    POSITIVE LOGITS
     alphabet
    1.77
     chronological
    1.56
     ascending
    1.45
     descending
    1.37
     sorted
    1.25
     order
    1.08
     grouped
    1.08
     Alphabet
    1.07
     categories
    1.06
     comma
    1.05
    Activations Density 0.377%

    No Known Activations