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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. 3-RES-JB
    11. 4216
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    Explanations

    words related to surveillance and monitoring

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to surveillance or observation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    win
    -0.78
    generic
    -0.75
    onian
    -0.74
    Anth
    -0.72
    ONT
    -0.70
    inal
    -0.69
    sword
    -0.67
    ---------------
    -0.66
    HOME
    -0.66
    dx
    -0.66
    POSITIVE LOGITS
     monitoring
    1.17
     monitored
    1.16
     monitors
    1.03
     monitor
    0.97
    itored
    0.97
     closely
    0.87
     Monitor
    0.86
     attent
    0.82
     Watching
    0.80
     Monitoring
    0.79
    Activations Density 0.017%

    No Known Activations