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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. 9-RES-JB
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    Explanations

    references to missing persons

    oai_token-act-pair · gpt-3.5-turbo

    instances of people being reported as missing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    idity
    -0.72
     caut
    -0.72
     spons
    -0.70
     absorbs
    -0.67
    iser
    -0.63
    UFC
    -0.62
     holes
    -0.62
     incumb
    -0.62
     incumbent
    -0.62
    ready
    -0.61
    POSITIVE LOGITS
     abducted
    0.92
     mysteriously
    0.87
     disappearance
    0.87
    earchers
    0.84
     abduction
    0.82
     Missing
    0.79
    eteen
    0.79
     MH
    0.78
     kidnapped
    0.77
     Disapp
    0.75
    Activations Density 0.143%

    No Known Activations