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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the name "Sue"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific person named Sue and related terms

    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
     unob
    -0.68
    ervatives
    -0.67
    othal
    -0.66
    committee
    -0.65
     economical
    -0.65
    rylic
    -0.64
     overhead
    -0.64
    iscopal
    -0.64
     glimps
    -0.64
    rontal
    -0.63
    POSITIVE LOGITS
     Sue
    1.16
    hiro
    1.13
    ples
    0.93
    ño
    0.91
    vana
    0.90
    ppe
    0.87
    ville
    0.80
    udo
    0.78
    llo
    0.77
    vier
    0.76
    Activations Density 0.009%

    No Known Activations