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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. 8-RES-JB
    11. 5105
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    INDEX
    Explanations

    mentions of surveillance activities or programs

    oai_token-act-pair · gpt-3.5-turbo

    references to surveillance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onement
    -0.80
    xual
    -0.78
    interstitial
    -0.74
    erent
    -0.74
    kell
    -0.72
    clus
    -0.69
    cakes
    -0.69
    uces
    -0.68
    equal
    -0.67
    resents
    -0.66
    POSITIVE LOGITS
     surveillance
    1.01
     cameras
    0.96
     apparatus
    0.90
     technologies
    0.86
     Surveillance
    0.85
     ank
    0.83
     devices
    0.80
     capabilities
    0.79
     systems
    0.79
     tactics
    0.79
    Activations Density 0.032%

    No Known Activations