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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. 2622
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    Explanations

    mentions of children in the context of books or educational settings

    oai_token-act-pair · gpt-3.5-turbo

    references to children and their experiences

    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
     Centauri
    -0.77
     manifold
    -0.77
    æĪ¦
    -0.69
     freight
    -0.67
     subsequ
    -0.67
    uncture
    -0.65
     Tribunal
    -0.63
    anyahu
    -0.62
    ãģ®å
    -0.61
    phas
    -0.61
    POSITIVE LOGITS
    ults
    0.92
    kids
    0.91
     kids
    0.86
     boys
    0.85
    boys
    0.83
     ages
    0.81
    olester
    0.81
    boy
    0.79
     orphan
    0.79
     Doodle
    0.79
    Activations Density 0.044%

    No Known Activations