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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. 1-RES-JB
    11. 13208
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    Explanations

    security-related terms and concepts, particularly focusing on instances of insecurity or vulnerability

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sec" implying a focus on security-related topics or mentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.81
    ãĥ£
    -0.79
     Silk
    -0.70
    çļ
    -0.68
    GMT
    -0.65
     Bagg
    -0.62
     TAMADRA
    -0.62
    bley
    -0.62
    upon
    -0.60
    lihood
    -0.59
    POSITIVE LOGITS
    sec
    1.38
    rets
    1.04
    enaries
    0.95
    Sec
    0.94
    isters
    0.91
     sec
    0.88
    utes
    0.86
    lishes
    0.85
    marine
    0.85
    ugu
    0.84
    Activations Density 0.006%

    No Known Activations