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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. 7-RES-JB
    11. 9389
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    INDEX
    Explanations

    numerical quantities of items or objects

    oai_token-act-pair · gpt-3.5-turbo

    quantitative information related to large quantities or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Played
    -0.70
    iqueness
    -0.66
     creator
    -0.64
    agame
    -0.61
     exile
    -0.61
     inclusion
    -0.61
     evolves
    -0.61
     uploading
    -0.60
     emergence
    -0.60
    swer
    -0.60
    POSITIVE LOGITS
     kilograms
    0.98
     pounds
    0.95
     acres
    0.88
     hectares
    0.85
     copies
    0.84
     yuan
    0.82
     lbs
    0.82
     dozen
    0.82
     tonnes
    0.81
     gallons
    0.80
    Activations Density 0.354%

    No Known Activations