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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
    11. 10017
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
    ometric
    -0.70
     gener
    -0.63
     dunno
    -0.61
     shenan
    -0.61
     Schl
    -0.60
     sovere
    -0.60
     tide
    -0.60
    mop
    -0.60
    ardless
    -0.59
     dil
    -0.59
    POSITIVE LOGITS
     Editors
    0.83
     Investigative
    0.79
    Leaks
    0.78
     Digest
    0.78
     Editorial
    0.77
     Editor
    0.74
     Magazine
    0.74
     Reporter
    0.73
     headlined
    0.73
    uggets
    0.72
    Activations Density 0.137%

    No Known Activations