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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
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    Explanations

    phrases related to acts or allegations of cruelty

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cruelty, particularly in contexts involving animal or human rights abuses

    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
    kj
    -0.83
    acular
    -0.76
     Banking
    -0.74
    ucket
    -0.73
     Bundle
    -0.70
     Bam
    -0.70
    lisher
    -0.70
     bund
    -0.67
    rain
    -0.67
    ribution
    -0.66
    POSITIVE LOGITS
     cruelty
    0.87
     cruel
    0.78
     animals
    0.77
     Animals
    0.76
     Slaughter
    0.76
     humane
    0.75
     Cruel
    0.75
    Animal
    0.74
     inhuman
    0.73
    ®
    0.72
    Activations Density 0.050%

    No Known Activations