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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2061
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    INDEX
    Explanations

    words related to blades or cutting objects

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of blades or blade-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.86
    quickShipAvailable
    -0.83
    bos
    -0.82
    gdala
    -0.77
    upon
    -0.76
    ESA
    -0.75
    riad
    -0.74
    ravel
    -0.71
    otional
    -0.70
    ally
    -0.67
    POSITIVE LOGITS
     blades
    1.14
    tips
    1.03
     Runner
    1.02
     blade
    1.00
    blade
    0.89
    tip
    0.88
     wielded
    0.82
     Cutter
    0.81
    hawk
    0.81
     Blade
    0.81
    Activations Density 0.019%

    No Known Activations