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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. 7-RES-JB
    6. 4262
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    Explanations

    phrases related to victims of various types of harm or oppression

    oai_token-act-pair · gpt-3.5-turbo

    references to victims of various crimes and traumatic events

    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
    ulum
    -0.77
    arily
    -0.71
    ahead
    -0.71
    hua
    -0.68
    heads
    -0.68
    prints
    -0.67
    ortment
    -0.67
    shire
    -0.67
    agy
    -0.67
    liness
    -0.67
    POSITIVE LOGITS
     persecution
    0.83
     injustice
    0.83
     discrimination
    0.80
     harassment
    0.80
     oppression
    0.78
     violence
    0.78
     abuse
    0.77
     gunfire
    0.74
     Hurricane
    0.73
     racism
    0.72
    Activations Density 0.085%

    No Known Activations