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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. 16118
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    Explanations

    descriptions or details mentioned in various documents

    oai_token-act-pair · gpt-3.5-turbo

    references to documents or reports that contain detailed descriptions or outlines

    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
     lasted
    -0.88
    hesda
    -0.70
    0000000000000000
    -0.69
     succeeded
    -0.68
     waited
    -0.67
    rio
    -0.66
     luckily
    -0.65
     fought
    -0.64
     obliged
    -0.63
     assured
    -0.63
    POSITIVE LOGITS
     accordance
    0.95
    humane
    0.92
     advance
    0.89
     conjunction
    0.87
     Figures
    0.82
     Scripture
    0.82
     detail
    0.81
    effic
    0.80
    efficiency
    0.80
     Figure
    0.79
    Activations Density 0.179%

    No Known Activations