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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. 11-RES-JB
    11. 2468
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    Explanations

    descriptions of events happening at a specific location, particularly involving a club

    oai_token-act-pair · gpt-3.5-turbo

    references to specific incidents or events occurring in a social setting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    osate
    -1.02
    vacc
    -0.97
     Carrier
    -0.91
    è¦ļéĨĴ
    -0.89
    utan
    -0.87
    agascar
    -0.86
     vaccine
    -0.86
     USDA
    -0.84
     vaccines
    -0.84
    crop
    -0.81
    POSITIVE LOGITS
     nightclub
    1.90
     bartender
    1.70
     pubs
    1.70
     bart
    1.63
     Lounge
    1.60
     tavern
    1.58
     patrons
    1.57
     boun
    1.52
     cocktails
    1.50
     bars
    1.49
    Activations Density 0.443%

    No Known Activations