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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. 8-RES-JB
    11. 16978
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    Explanations

    descriptions of various vehicles and their associated actions or attributes

    oai_token-act-pair · gpt-3.5-turbo

    references to vehicles involved in incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olkien
    -0.85
     trillions
    -0.79
     Throne
    -0.78
     Tolkien
    -0.77
     UNESCO
    -0.76
     philosophers
    -0.75
     optim
    -0.73
     capitals
    -0.72
    ishops
    -0.70
     exile
    -0.70
    POSITIVE LOGITS
     gunfire
    1.15
     gunman
    1.12
    police
    1.11
     intruder
    1.09
     burglary
    1.08
     gunshot
    1.07
    Police
    1.05
     altercation
    1.03
     gunshots
    1.03
     assailant
    1.02
    Activations Density 0.745%

    No Known Activations