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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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    Explanations

    keywords related to computer monitors and monitoring activities

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "monitor."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    onian
    -0.79
    giving
    -0.76
    doms
    -0.71
    NOR
    -0.71
    Anth
    -0.71
    ENC
    -0.69
    AAAA
    -0.66
    UGC
    -0.66
    onia
    -0.66
    anol
    -0.65
    POSITIVE LOGITS
     monitors
    1.28
     monitor
    1.16
     Monitor
    1.07
     monitored
    0.93
     monitoring
    0.91
    ial
    0.81
     Watching
    0.77
    ises
    0.76
    Monitor
    0.76
    awei
    0.74
    Activations Density 0.008%

    No Known Activations