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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. 13405
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    INDEX
    Explanations

    statements within texts, such as official statements, company statements, letters, requests, executive orders, news releases, and announcements

    oai_token-act-pair · gpt-3.5-turbo

    statements or quotes from official sources or documentation

    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
     ancest
    -0.78
    artifacts
    -0.75
    TPPStreamerBot
    -0.72
     accur
    -0.70
     unsus
    -0.68
     underestimated
    -0.67
     halluc
    -0.66
     experien
    -0.66
     fascination
    -0.65
     distur
    -0.65
    POSITIVE LOGITS
     wrote
    1.08
     statement
    0.99
     quoted
    0.93
     letter
    0.89
     emailed
    0.84
     written
    0.84
    letter
    0.83
    wrote
    0.83
     booklet
    0.82
     citation
    0.82
    Activations Density 0.225%

    No Known Activations