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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. 7-RES-JB
    11. 13704
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    Explanations

    words related to severe harm or fatal situations

    oai_token-act-pair · gpt-3.5-turbo

    references to lethal or dangerous situations and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ourced
    -0.88
    erous
    -0.84
    mbuds
    -0.83
    ĸļ
    -0.82
    estamp
    -0.78
     Username
    -0.77
    ļéĨĴ
    -0.75
    acular
    -0.74
    adra
    -0.74
    ourcing
    -0.73
    POSITIVE LOGITS
     poison
    0.92
     poisonous
    0.91
     toll
    0.90
     lethal
    0.88
     combination
    0.86
     wounding
    0.85
     assault
    0.82
     pathogens
    0.81
     sins
    0.81
     dose
    0.80
    Activations Density 0.025%

    No Known Activations