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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. 10-RES-JB
    11. 6496
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    Explanations

    references to museums and cultural institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to various museums and their names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.78
     blockers
    -0.75
     blocker
    -0.72
     regress
    -0.71
     checkpoints
    -0.70
     gearing
    -0.65
     multiplier
    -0.64
     referral
    -0.64
     rebound
    -0.63
     payoff
    -0.63
    POSITIVE LOGITS
     Contemporary
    1.20
     Anthropology
    1.04
     History
    1.02
     Modern
    0.98
     Photography
    0.96
     Science
    0.95
     Classics
    0.93
     Natural
    0.91
     Art
    0.91
     Antiqu
    0.90
    Activations Density 0.078%

    No Known Activations