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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 18338
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    Explanations

    terms related to physical harm or destruction

    oai_token-act-pair · gpt-3.5-turbo

    references to physical or structural damage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    KER
    -0.68
    ulated
    -0.67
    arte
    -0.67
    rams
    -0.65
    zee
    -0.64
     Kong
    -0.63
    ulates
    -0.62
    ILLE
    -0.61
    ramid
    -0.61
     Helpful
    -0.60
    POSITIVE LOGITS
     damage
    1.21
     inflicted
    1.05
    damage
    0.97
     mitigation
    0.89
     damaged
    0.86
     damages
    0.81
     Damage
    0.78
     horm
    0.77
    Damage
    0.77
     undermin
    0.77
    Activations Density 0.012%

    No Known Activations