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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. 9-RES-JB
    11. 3057
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    Explanations

    references to the brand "LEGO" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the Lego brand and products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.83
    sweet
    -0.77
    terness
    -0.72
    uncture
    -0.72
    rine
    -0.71
    pher
    -0.69
    bern
    -0.69
    ntil
    -0.68
    ilities
    -0.66
    pour
    -0.66
    POSITIVE LOGITS
     Dimensions
    1.11
     Ideas
    1.04
     bricks
    0.86
    ®
    0.84
     Batman
    0.79
     Jurassic
    0.77
    USS
    0.76
     Sets
    0.75
     Lego
    0.75
     Movie
    0.75
    Activations Density 0.069%

    No Known Activations