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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. 22629
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    Explanations

    phrases that express curiosity about future outcomes or developments

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating curiosity or anticipation about future events or developments

    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
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    No Comments

    Negative Logits
    quartered
    -0.73
    essential
    -0.70
     condol
    -0.68
    angering
    -0.66
    cffffcc
    -0.66
    itute
    -0.66
    20439
    -0.63
    ÙĬ
    -0.63
    igmatic
    -0.63
    washer
    -0.61
    POSITIVE LOGITS
     someday
    0.94
     evolves
    0.90
     develops
    0.81
     convin
    0.80
     progresses
    0.79
     convince
    0.75
     continues
    0.75
     unfolds
    0.74
     next
    0.73
     developments
    0.73
    Activations Density 0.474%

    No Known Activations