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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. 0-RES-JB
    6. 14227
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    INDEX
    Explanations

    mentions of the brand "Lego"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Lego brand

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     suppress
    -0.81
     suppressed
    -0.81
     Shir
    -0.81
     suppressing
    -0.78
     suppression
    -0.69
     sickness
    -0.67
     counseling
    -0.66
     tab
    -0.65
     disp
    -0.65
     stricken
    -0.65
    POSITIVE LOGITS
     Lego
    4.02
     LEGO
    3.48
     Minecraft
    1.72
     Barbie
    1.53
    Minecraft
    1.49
     Brick
    1.43
     Transformers
    1.40
     Toys
    1.40
     Disneyland
    1.37
    Catalog
    1.33
    Activations Density 0.033%

    No Known Activations