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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. 11-RES-JB
    6. 17822
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    INDEX
    Explanations

    mentions of specific names or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imeters
    -0.79
     Nak
    -0.79
     necklace
    -0.78
    icent
    -0.76
     Athen
    -0.74
    aki
    -0.73
    inventoryQuantity
    -0.73
     Nah
    -0.73
     Pants
    -0.73
     Pearce
    -0.71
    POSITIVE LOGITS
     Ro
    2.40
    Ro
    2.29
     ro
    1.89
     RO
    1.88
    RO
    1.76
    ro
    1.74
     Robo
    1.54
     roast
    1.47
     Kro
    1.43
     roasted
    1.26
    Activations Density 0.239%

    No Known Activations