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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. 2-RES-JB
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    terms related to surveillance and monitoring

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    gran
    -0.87
    ogene
    -0.79
    onement
    -0.76
    versions
    -0.75
    interstitial
    -0.74
    uca
    -0.73
    gs
    -0.72
    orian
    -0.71
    shr
    -0.70
    uncle
    -0.68
    POSITIVE LOGITS
     surveillance
    1.18
    illance
    1.08
     Surveillance
    1.00
     cameras
    0.96
     ank
    0.94
     screenings
    0.87
     systems
    0.84
     scanners
    0.83
     Systems
    0.83
     programmes
    0.81
    Activations Density 0.012%

    No Known Activations