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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. 0-RES-JB
    11. 22470
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    Explanations

    proper nouns related to a specific location or person named "Nag."

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to the name "Nag" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ouver
    -0.73
    adelphia
    -0.68
    roller
    -0.66
    uploads
    -0.64
     EP
    -0.64
     BEN
    -0.64
     felony
    -0.63
     VO
    -0.62
     selfie
    -0.62
    ounters
    -0.61
    POSITIVE LOGITS
     Nag
    4.00
     Nak
    1.33
     Sag
    1.27
     Nish
    1.26
     Hiroshima
    1.26
     Azerbaijan
    1.21
     Yug
    1.21
     Kag
    1.20
     Sak
    1.19
     Hag
    1.19
    Activations Density 0.017%

    No Known Activations