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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. 3-RES-JB
    11. 4188
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    Explanations

    proper nouns or titles, specifically those preceded by "Sir"

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with the title "Sir."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.80
    VB
    -0.74
    PRESS
    -0.72
    anwhile
    -0.69
     pods
    -0.68
    ©¶æ
    -0.67
    ¥ŀ
    -0.67
     psy
    -0.66
     revolving
    -0.66
     CLSID
    -0.65
    POSITIVE LOGITS
    Sir
    0.98
     Sir
    0.94
    anas
    0.81
    rah
    0.75
    leaf
    0.74
     uncle
    0.74
    oux
    0.73
     Arthur
    0.73
    zech
    0.73
    abit
    0.72
    Activations Density 0.005%

    No Known Activations