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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 8-RES-JB
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    technical terms related to computer programming

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and concepts related to programming and electronics

    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
    hur
    -0.81
    Sov
    -0.79
    Weather
    -0.72
    MJ
    -0.72
    DEM
    -0.71
    taboola
    -0.71
    hran
    -0.70
    CHAT
    -0.68
    Honest
    -0.68
    olis
    -0.68
    POSITIVE LOGITS
    Offset
    1.02
    acters
    0.98
     width
    0.95
     offset
    0.90
     increments
    0.88
     separated
    0.86
    wise
    0.85
     count
    0.85
     diameter
    0.82
     length
    0.81
    Activations Density 0.235%

    No Known Activations