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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. 8-RES-JB
    11. 13069
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    Explanations

    references to personnel matters or individuals in an organizational context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "personnel."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    bows
    -0.84
    bow
    -0.81
    vid
    -0.80
    bolt
    -0.76
    à¼
    -0.75
    TERN
    -0.74
    nings
    -0.74
    wit
    -0.72
    BIP
    -0.71
    forth
    -0.70
    POSITIVE LOGITS
     stationed
    1.13
     carriers
    0.98
    ilitary
    0.94
     personnel
    0.93
     secretaries
    0.91
     corps
    0.85
     carrier
    0.84
     sergeant
    0.83
     morale
    0.83
     quarters
    0.82
    Activations Density 0.033%

    No Known Activations