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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. 6-RES-JB
    11. 7986
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    INDEX
    Explanations

    the word "Whole"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific brands, organizations, or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oused
    -0.83
    icable
    -0.78
    aciously
    -0.78
     externalToEVAOnly
    -0.75
     convincing
    -0.73
    iosyncr
    -0.72
     includ
    -0.70
     tremend
    -0.70
    oled
    -0.67
    antically
    -0.67
    POSITIVE LOGITS
     Responsibility
    0.90
     Limits
    0.90
     Foods
    0.89
     Investigations
    0.89
     Ones
    0.89
     Definition
    0.86
     Forces
    0.85
     Mind
    0.84
     Works
    0.84
     Room
    0.84
    Activations Density 0.202%

    No Known Activations