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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. 10-RES-JB
    11. 2896
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    Explanations

    comparisons between different types of animals

    oai_token-act-pair · gpt-3.5-turbo

    references to different animal species and their reproductive characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ruary
    -0.80
    inventoryQuantity
    -0.78
    essional
    -0.78
     Destination
    -0.77
     Degree
    -0.76
    issance
    -0.75
    Ô
    -0.75
    imity
    -0.72
     Affordable
    -0.72
    endor
    -0.72
    POSITIVE LOGITS
     goats
    1.71
     mammals
    1.69
     primates
    1.66
     elephants
    1.65
     rodents
    1.64
     monkeys
    1.62
     rabbits
    1.59
     reptiles
    1.59
     insects
    1.59
     whales
    1.57
    Activations Density 0.167%

    No Known Activations