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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. 9-RES-JB
    11. 17710
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    Explanations

    surveillance equipment like cameras and sensors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to surveillance and monitoring technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gres
    -0.80
    erenn
    -0.77
    ardless
    -0.76
    lude
    -0.75
    Fall
    -0.72
    abal
    -0.72
     inheritance
    -0.71
    ifest
    -0.71
     stagnation
    -0.70
     decad
    -0.69
    POSITIVE LOGITS
     sensors
    1.59
     detectors
    1.59
     scanners
    1.50
     microphones
    1.47
     monitors
    1.47
     cameras
    1.46
     detector
    1.37
     monitoring
    1.36
     scanner
    1.33
     transmit
    1.33
    Activations Density 0.808%

    No Known Activations