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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. 3-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to cybersecurity and surveillance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Strauss
    -0.76
     Michaels
    -0.72
    ained
    -0.71
    ered
    -0.71
    igated
    -0.70
    arget
    -0.67
    eeds
    -0.67
     Zucker
    -0.65
     veiled
    -0.65
    icably
    -0.64
    POSITIVE LOGITS
    netic
    1.08
    prus
    0.95
     Cyber
    0.91
    dimension
    0.88
    security
    0.85
     Intelligence
    0.77
    ãĥ£
    0.77
     Hacker
    0.76
    icum
    0.76
    culus
    0.73
    Activations Density 0.009%

    No Known Activations