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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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    Explanations

    references to eavesdropping or listening in secret on conversations

    oai_token-act-pair · gpt-3.5-turbo

    references to surveillance and eavesdropping activities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Pitt
    -0.77
    naires
    -0.75
     Paste
    -0.70
     IMAGES
    -0.70
     Ceres
    -0.69
     Vulcan
    -0.66
     Purpose
    -0.64
     Levi
    -0.63
    ary
    -0.63
    à¤
    -0.63
    POSITIVE LOGITS
    dropping
    1.36
     eaves
    1.35
    dro
    1.15
    drops
    0.98
    drop
    0.86
    scribe
    0.82
    byss
    0.79
    bour
    0.79
    rored
    0.79
    bling
    0.78
    Activations Density 0.014%

    No Known Activations