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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
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    Explanations

    technological systems and equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to technological systems and surveillance equipment

    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
    âĺĨ
    -0.75
    erenn
    -0.74
     indie
    -0.70
    resents
    -0.67
     Hobbit
    -0.65
     appet
    -0.65
    GG
    -0.65
    reprene
    -0.64
    rawdownloadcloneembedreportprint
    -0.63
     Arche
    -0.63
    POSITIVE LOGITS
     malfunction
    1.04
     monitors
    1.01
     monitoring
    0.96
     detectors
    0.92
    equipped
    0.90
    itored
    0.87
     systems
    0.87
     scanners
    0.86
     monitor
    0.86
     outage
    0.86
    Activations Density 0.296%

    No Known Activations