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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. 19482
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    Explanations

    words related to stunning or incapacitating actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to stun devices or non-lethal weapons

    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
    aternity
    -0.76
    yss
    -0.74
     Janeiro
    -0.73
    iosyncr
    -0.66
    GN
    -0.65
    ĨĴ
    -0.65
     Sector
    -0.64
    istle
    -0.63
     Cors
    -0.63
    女
    -0.62
    POSITIVE LOGITS
    ners
    1.18
    ned
    1.02
    ted
    1.02
     stun
    1.00
    bang
    0.97
    ner
    0.96
    geon
    0.96
    bolt
    0.95
    ting
    0.92
    iflower
    0.91
    Activations Density 0.015%

    No Known Activations