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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. 6075
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    INDEX
    Explanations

    references to the brand "Lego"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Lego brand and its products

    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
    yip
    -0.85
    ysis
    -0.79
    bern
    -0.73
    pressed
    -0.72
    sweet
    -0.71
    uncture
    -0.70
    ebin
    -0.69
    ntil
    -0.69
    terness
    -0.68
    robe
    -0.67
    POSITIVE LOGITS
     Dimensions
    0.92
     Ideas
    0.92
     LEGO
    0.89
     bricks
    0.87
     Lego
    0.87
    ®
    0.76
     Theft
    0.74
     Minecraft
    0.73
     Batman
    0.72
    ota
    0.70
    Activations Density 0.023%

    No Known Activations