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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. 0-RES-JB
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    INDEX
    Explanations

    phrases related to monitoring or surveillance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "monitor" and its variants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kind
    -0.86
    edy
    -0.77
    ific
    -0.75
    ugi
    -0.72
    fest
    -0.70
    nery
    -0.69
     Hein
    -0.68
     Brewing
    -0.68
     Famous
    -0.67
     Mysteries
    -0.67
    POSITIVE LOGITS
     monitor
    3.76
     monitors
    3.16
     Monitor
    2.60
    monitor
    2.48
    Monitor
    2.31
     monitoring
    2.06
     monitored
    1.86
     Monitoring
    1.56
     webcam
    1.40
     recorder
    1.29
    Activations Density 0.012%

    No Known Activations