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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. 5454
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    INDEX
    Explanations

    language indicating direct action or intention

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and negations in sentences

    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
    dayName
    -0.71
    YD
    -0.66
    confirmed
    -0.64
    Contents
    -0.64
    uum
    -0.62
     Corpus
    -0.61
    dates
    -0.61
    jong
    -0.60
    prim
    -0.60
    script
    -0.59
    POSITIVE LOGITS
     suddenly
    1.23
     THEN
    1.13
     then
    1.12
     reap
    1.09
     expecting
    1.03
     expect
    1.02
     pretend
    1.01
     wonder
    0.99
     magically
    0.97
     forget
    0.96
    Activations Density 0.292%

    No Known Activations