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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. 10-RES-JB
    11. 5023
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    INDEX
    Explanations

    positive expressions and statements with emphasis

    oai_token-act-pair · gpt-3.5-turbo

    cohesive phrases that contribute to a positive or engaging sentiment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.86
    regate
    -0.77
    ciples
    -0.75
    sburg
    -0.74
    usk
    -0.73
    steam
    -0.71
    irie
    -0.71
    pai
    -0.70
    enger
    -0.70
    colo
    -0.70
    POSITIVE LOGITS
     deserves
    1.15
     luckily
    1.12
     certainly
    1.08
     fortunately
    1.07
     thankfully
    1.05
     hopefully
    1.04
     definitely
    1.03
     frankly
    1.01
     it
    0.96
     unfortunately
    0.95
    Activations Density 0.230%

    No Known Activations