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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. 11-RES-JB
    11. 13433
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    Explanations

    medical terms or phrases related to monitoring and observation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of monitoring and observation activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anyl
    -0.83
    erella
    -0.82
    Interstitial
    -0.74
    Else
    -0.72
    afort
    -0.71
    ãĥĥãĥī
    -0.70
     Masquerade
    -0.70
    nexus
    -0.69
    sword
    -0.69
    illard
    -0.67
    POSITIVE LOGITS
     monitors
    0.97
     monitored
    0.96
     monitoring
    0.96
    dog
    0.88
     monitor
    0.85
    itored
    0.83
     vigil
    0.83
     attent
    0.81
     Watching
    0.80
     observers
    0.80
    Activations Density 0.111%

    No Known Activations