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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. 21254
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    Explanations

    phrases related to violent events, particularly focusing on clashes and conflicts between different groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to racially charged events and violence

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Oman
    -0.93
     concess
    -0.89
     toile
    -0.84
     cylinders
    -0.74
     Canal
    -0.74
    kus
    -0.73
     iT
    -0.73
     Accounting
    -0.71
    utic
    -0.71
    wcsstore
    -0.71
    POSITIVE LOGITS
     Charlottesville
    2.00
     KKK
    1.88
     Klan
    1.76
    ottesville
    1.64
     fascists
    1.57
     racists
    1.57
     Nazis
    1.56
     swast
    1.56
     neo
    1.53
     Bannon
    1.52
    Activations Density 0.421%

    No Known Activations