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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. 23850
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    INDEX
    Explanations

    proper nouns or specific names mentioned

    oai_token-act-pair · gpt-3.5-turbo

    references to entities and claims about them

    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
    CONCLUS
    -0.67
    PORT
    -0.63
     ÙĪ
    -0.60
     VIDEOS
    -0.59
    ANK
    -0.58
     Conclusion
    -0.57
    GY
    -0.57
     telling
    -0.56
     wondering
    -0.55
    Apps
    -0.54
    POSITIVE LOGITS
     frequ
    0.93
     oversaw
    0.92
     normally
    0.91
     owns
    0.90
     presided
    0.86
     represents
    0.85
     ordinarily
    0.85
     originally
    0.84
     oversees
    0.84
     originated
    0.81
    Activations Density 0.176%

    No Known Activations