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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. 9-RES-JB
    11. 17915
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    Explanations

    names of specific companies or products

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly brand names and notable entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onen
    -0.75
    «ĺ
    -0.71
    olulu
    -0.71
     downstream
    -0.68
    agonists
    -0.68
    olester
    -0.68
    hematically
    -0.67
     damp
    -0.67
     clearer
    -0.67
    rupulous
    -0.67
    POSITIVE LOGITS
     Accessories
    0.99
     Enterprises
    0.94
     Family
    0.90
     Plaza
    0.89
     Personal
    0.88
     Forever
    0.88
     Facts
    0.87
     Travels
    0.87
    Vision
    0.85
     Entertainment
    0.85
    Activations Density 0.356%

    No Known Activations