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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. 20535
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    Explanations

    references to children and adolescents, specifically in relation to medical, educational, and social contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to children and their developmental contexts

    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
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    No Comments

    Negative Logits
    é¾įåĸļ士
    -0.84
    issance
    -0.78
    Offline
    -0.75
     Collider
    -0.75
    ãĥķãĤ©
    -0.72
     Torrent
    -0.71
     Janeiro
    -0.70
    âķIJâķIJ
    -0.68
     Logged
    -0.67
     Redux
    -0.67
    POSITIVE LOGITS
     adults
    1.75
     adolescents
    1.72
     grandchildren
    1.58
     teens
    1.56
     teenagers
    1.51
     adulthood
    1.51
     toddlers
    1.50
     Adults
    1.46
     adult
    1.45
     adolescence
    1.40
    Activations Density 0.147%

    No Known Activations