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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. 19906
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    INDEX
    Explanations

    phrases related to principles or fundamental beliefs

    oai_token-act-pair · gpt-3.5-turbo

    references to principles and their importance in various contexts

    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
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    No Comments

    Negative Logits
    IED
    -0.82
    minster
    -0.73
    essions
    -0.70
    edo
    -0.69
    otte
    -0.68
    hner
    -0.66
    eor
    -0.65
    tg
    -0.65
    ilation
    -0.65
    Stars
    -0.64
    POSITIVE LOGITS
     principles
    1.01
     underpin
    1.01
    ually
    0.94
     underlying
    0.92
     guiding
    0.87
     principle
    0.85
     governing
    0.80
    arial
    0.78
    ciples
    0.75
     principals
    0.75
    Activations Density 0.042%

    No Known Activations