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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. 2-RES-JB
    11. 6595
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    INDEX
    Explanations

    numerical values indicating height

    oai_token-act-pair · gpt-3.5-turbo

    references to high-quality or superior attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Orient
    -0.76
     Canad
    -0.72
     Dare
    -0.69
    arium
    -0.66
    女
    -0.62
     Scarborough
    -0.62
     Ain
    -0.62
    âĹ¼
    -0.62
     Tycoon
    -0.61
     Ragnarok
    -0.60
    POSITIVE LOGITS
    lighting
    0.98
    lights
    0.94
    ened
    0.93
    nesses
    0.88
    enough
    0.83
    school
    0.76
    high
    0.74
     enough
    0.73
    iple
    0.73
     doses
    0.72
    Activations Density 0.012%

    No Known Activations