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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. 4819
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    Explanations

    phrases related to home improvement and DIY projects

    oai_token-act-pair · gpt-3.5-turbo

    suggestions related to gardening and outdoor activities

    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
    Transaction
    -0.84
    iannopoulos
    -0.82
    translation
    -0.77
    language
    -0.76
    agonist
    -0.76
     Represent
    -0.75
    represent
    -0.73
     imperialist
    -0.72
     Yiannopoulos
    -0.72
     Johann
    -0.72
    POSITIVE LOGITS
     blankets
    1.34
     towels
    1.33
     patio
    1.32
     freezer
    1.30
     outdoor
    1.29
     insulation
    1.27
     indoor
    1.26
     indoors
    1.26
     attic
    1.26
     kitchen
    1.26
    Activations Density 0.883%

    No Known Activations