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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. 3-RES-JB
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    Explanations

    mentions of casualties in various tragic events

    oai_token-act-pair · gpt-3.5-turbo

    references to casualties or loss of life in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    SPONSORED
    -0.76
    Technology
    -0.72
    Emer
    -0.70
    Corp
    -0.69
    ctr
    -0.64
     Tooth
    -0.64
     srfAttach
    -0.64
    etric
    -0.63
    index
    -0.63
    Lear
    -0.62
    POSITIVE LOGITS
     smugglers
    1.07
    folk
    0.91
     evacuated
    0.82
     fleeing
    0.81
     traffickers
    0.80
     who
    0.79
     perished
    0.79
     smuggling
    0.76
     protesting
    0.75
     affected
    0.74
    Activations Density 0.089%

    No Known Activations