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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. 6-RES-JB
    11. 1541
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific brands or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    blogs
    -0.56
    iris
    -0.56
    enhagen
    -0.55
    responsible
    -0.55
    kar
    -0.53
     Hearth
    -0.53
    liest
    -0.52
     Originally
    -0.52
     Kimmel
    -0.51
    letters
    -0.50
    POSITIVE LOGITS
    ebted
    0.63
    jri
    0.63
     moniker
    0.63
     conco
    0.61
     workforce
    0.61
     employee
    0.59
     wardrobe
    0.58
    issance
    0.58
     iteration
    0.58
     celebration
    0.57
    Activations Density 0.948%

    No Known Activations