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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. 2314
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    INDEX
    Explanations

    phrases related to risk and evidence-based decision-making

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases or contexts related to risk

    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
     ordinary
    -0.65
     shell
    -0.64
     Zi
    -0.63
     Pratt
    -0.62
     disbanded
    -0.62
     hex
    -0.62
    estial
    -0.61
     Noon
    -0.60
     gears
    -0.60
     Jelly
    -0.59
    POSITIVE LOGITS
    taking
    1.42
    sharing
    1.42
    seeking
    1.39
    based
    1.37
    management
    1.37
    driven
    1.34
    scoring
    1.29
    bearing
    1.29
    finding
    1.28
    free
    1.27
    Activations Density 0.088%

    No Known Activations