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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. 16412
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    Explanations

    proper names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of characters

    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
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    Negative Logits
    atform
    -0.60
    undai
    -0.60
    Effective
    -0.60
     unanimous
    -0.57
     cybersecurity
    -0.57
     technical
    -0.56
    taboola
    -0.56
     organizational
    -0.55
    Ħ¢
    -0.55
     analytics
    -0.55
    POSITIVE LOGITS
     Weasley
    0.90
    osaurus
    0.79
     Wilde
    0.76
    son
    0.72
    mere
    0.71
    antine
    0.68
     Cage
    0.68
    imus
    0.68
     Noir
    0.67
    's
    0.67
    Activations Density 0.370%

    No Known Activations