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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. 1-RES-JB
    11. 2085
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    Explanations

    references to tables within a document

    oai_token-act-pair · gpt-3.5-turbo

    references to tables in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    vernment
    -0.71
    PLIED
    -0.71
     chancellor
    -0.68
     protective
    -0.64
    qua
    -0.63
     holiest
    -0.63
    Chance
    -0.63
    =-=-=-=-=-=-=-=-
    -0.62
    artney
    -0.62
     secrecy
    -0.61
    POSITIVE LOGITS
    Table
    1.29
     Table
    1.12
    TABLE
    1.09
    table
    1.03
     Tables
    1.02
    poons
    1.01
     TABLE
    0.96
     tables
    0.89
     table
    0.88
     Sheet
    0.80
    Activations Density 0.005%

    No Known Activations