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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. 12-RES-JB
    11. 5074
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    INDEX
    Explanations

    phrases related to geopolitical topics and policies

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases emphasizing the concept of capability or potential actions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    accompan
    -0.87
    ccording
    -0.87
    ò
    -0.87
    ActionCode
    -0.85
    č
    -0.85
    õ
    -0.85
    ė
    -0.85
    ø
    -0.85
    ğ
    -0.85
    Ą
    -0.85
    POSITIVE LOGITS
     concentrate
    1.08
     flourish
    1.07
     easily
    1.07
     freely
    1.04
     thrive
    1.03
     seamlessly
    1.02
     reap
    1.01
     continue
    1.01
     confidently
    1.01
     comfortably
    1.01
    Activations Density 0.239%

    No Known Activations