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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. 1003
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    Explanations

    text related to policy, research, and analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to research studies and policy reports

    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
     recourse
    -0.66
     paed
    -0.64
     constit
    -0.64
    urally
    -0.64
     glory
    -0.63
     customs
    -0.63
     bleach
    -0.63
     proceeds
    -0.63
     bans
    -0.62
     prefix
    -0.62
    POSITIVE LOGITS
     Institute
    1.12
    Research
    1.04
     Strategies
    1.02
    Studies
    1.02
     Economics
    1.00
     Research
    1.00
    research
    1.00
     Analysis
    0.99
    Brook
    0.96
    cipled
    0.95
    Activations Density 0.193%

    No Known Activations