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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. 2940
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    Explanations

    mentions of military ranks and positions

    oai_token-act-pair · gpt-3.5-turbo

    names and titles associated with individuals and events in history

    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
    ï¸ı
    -0.99
     cybersecurity
    -0.83
     ðŁ
    -0.81
    -0.78
    andowski
    -0.76
    ðŁ
    -0.75
     IoT
    -0.75
     Snapchat
    -0.74
     scary
    -0.73
    aspers
    -0.73
    POSITIVE LOGITS
     1912
    1.00
     historian
    0.98
    oslov
    0.97
     1914
    0.96
     1893
    0.96
     Yugoslav
    0.94
     1896
    0.91
     1909
    0.91
     1918
    0.91
     colonists
    0.91
    Activations Density 0.882%

    No Known Activations