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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. 14793
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    Explanations

    personal names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names, particularly those of individuals

    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
    inet
    -0.98
    akh
    -0.86
    bol
    -0.86
    inis
    -0.81
    aken
    -0.81
    Õ
    -0.77
    assembly
    -0.77
    umm
    -0.76
    sonian
    -0.76
    aspx
    -0.76
    POSITIVE LOGITS
     Jed
    0.95
     Bridgewater
    0.92
     Jade
    0.91
     Skywalker
    0.82
     Shades
    0.75
     Mariners
    0.72
     Rebels
    0.72
     Jarrett
    0.70
     vibe
    0.70
     Timberwolves
    0.69
    Activations Density 0.019%

    No Known Activations