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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. 17801
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    Explanations

    phrases relating to software system features or functionalities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss the complexity and challenges of situations, particularly in a business or management context

    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
     photographed
    -0.69
     filmed
    -0.67
    ONSORED
    -0.67
     nationally
    -0.64
    andise
    -0.63
    recorded
    -0.63
     ÂŃ
    -0.63
     Adolf
    -0.63
     internationally
    -0.63
     televised
    -0.61
    POSITIVE LOGITS
     cpu
    0.92
     optimization
    0.89
     redundancy
    0.87
     recursive
    0.85
     optimizations
    0.83
     infinite
    0.82
     infinity
    0.79
     systemd
    0.78
     overwrite
    0.78
     limitation
    0.77
    Activations Density 1.323%

    No Known Activations