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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. 20173
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    Explanations

    keywords related to excerpts and extracts from pieces of text

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "Ex" or variations of it

    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
     Sawyer
    -0.73
     blindly
    -0.62
     edges
    -0.61
    NING
    -0.60
     Rough
    -0.59
     Manz
    -0.59
     approaches
    -0.59
     disse
    -0.58
    enegger
    -0.58
     GOODMAN
    -0.58
    POSITIVE LOGITS
    haust
    1.44
    cerpt
    1.38
    terior
    1.32
    pert
    1.29
    ceptions
    1.27
    cessive
    1.27
    posing
    1.23
    ternally
    1.22
    pect
    1.22
    posure
    1.21
    Activations Density 0.024%

    No Known Activations