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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. 10-RES-JB
    11. 4458
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    phrases with the word "aimed" followed by a number indicating the strength of targeting or focus

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Frie
    -0.73
    anon
    -0.65
     Divinity
    -0.62
     Joined
    -0.61
    士
    -0.59
    inventoryQuantity
    -0.59
    ypes
    -0.58
     Rampage
    -0.57
    ylon
    -0.57
    oles
    -0.56
    POSITIVE LOGITS
     squarely
    1.30
     solely
    1.03
     primarily
    0.99
     toward
    0.99
     towards
    0.98
     principally
    0.94
     specifically
    0.94
     purely
    0.92
     mainly
    0.91
     chiefly
    0.90
    Activations Density 0.037%

    No Known Activations