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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. 4-RES-JB
    11. 2362
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    Explanations

    names of organizations or entities related to watching or monitoring something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to surveillance or monitoring activities

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

    No Comments

    Negative Logits
     skeptical
    -0.71
     whisk
    -0.70
     unborn
    -0.67
     ferment
    -0.66
     embargo
    -0.66
     discouraging
    -0.65
     deceive
    -0.65
     pont
    -0.65
     bloated
    -0.65
     saturated
    -0.64
    POSITIVE LOGITS
    DragonMagazine
    0.96
    theless
    0.95
     Opportun
    0.91
    ukong
    0.91
    Mania
    0.87
     Nights
    0.86
     Technologies
    0.86
     Compatibility
    0.84
     Robotics
    0.83
     Labs
    0.82
    Activations Density 0.180%

    No Known Activations