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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. 12565
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    Explanations

    technical terms related to programming and cybersecurity

    oai_token-act-pair · gpt-3.5-turbo

    references to malware and hacking activities

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    entary
    -0.58
     bikini
    -0.57
     breasts
    -0.54
    estamp
    -0.51
     bathing
    -0.51
     overflow
    -0.50
     beds
    -0.50
     booths
    -0.50
     queues
    -0.50
     indoors
    -0.50
    POSITIVE LOGITS
    Ö¼
    0.57
    coni
    0.56
    eering
    0.56
    ernaut
    0.53
    engine
    0.53
    responsible
    0.51
     meddling
    0.51
     engineered
    0.51
    failed
    0.51
     deregulation
    0.50
    Activations Density 2.108%

    No Known Activations