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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. 3-RES-JB
    11. 8211
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    INDEX
    Explanations

    mentions of the term "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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bern
    -0.80
    pressed
    -0.79
    sweet
    -0.72
    pher
    -0.71
    ushes
    -0.67
    close
    -0.67
    ilities
    -0.66
    mp
    -0.64
    lining
    -0.63
    âķIJâķIJ
    -0.63
    POSITIVE LOGITS
     LEGO
    1.03
     Lego
    0.91
     Dimensions
    0.90
     Ideas
    0.84
     bricks
    0.80
     Theft
    0.77
     Minecraft
    0.76
     Motorsport
    0.74
    ota
    0.69
     Jurassic
    0.68
    Activations Density 0.009%

    No Known Activations