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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. 7038
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    terms related to surveillance activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to surveillance and monitoring activities

    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
    xual
    -0.73
    resents
    -0.72
    erent
    -0.72
    onement
    -0.71
    eem
    -0.69
    kell
    -0.69
    clus
    -0.68
    ubric
    -0.67
    ale
    -0.67
    cair
    -0.66
    POSITIVE LOGITS
     cameras
    0.99
     surveillance
    0.95
     technologies
    0.87
    ISM
    0.82
     apparatus
    0.81
     equipment
    0.80
     technology
    0.78
     programs
    0.78
     devices
    0.78
     systems
    0.77
    Activations Density 0.041%

    No Known Activations