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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. 13870
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    INDEX
    Explanations

    phrases indicating high quality or excellence

    oai_token-act-pair · gpt-3.5-turbo

    references to "top" ranked or high-quality entities across various contexts

    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
     Cah
    -0.67
     Dia
    -0.65
     Sawyer
    -0.64
     Shaun
    -0.62
     Stranger
    -0.62
     Irwin
    -0.62
     Samoa
    -0.62
     alter
    -0.61
     Cavern
    -0.61
     STL
    -0.61
    POSITIVE LOGITS
    tier
    1.71
    level
    1.51
    ranking
    1.50
    ranked
    1.48
    secret
    1.39
    priority
    1.38
    rated
    1.36
    performing
    1.35
    heavy
    1.32
    quality
    1.30
    Activations Density 0.024%

    No Known Activations