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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. 7-RES-JB
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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
     Cheong
    -0.69
     compr
    -0.64
    cember
    -0.62
    wit
    -0.62
     Kag
    -0.61
     clicks
    -0.59
     TBA
    -0.58
     shorth
    -0.58
     Kemp
    -0.57
    church
    -0.57
    POSITIVE LOGITS
    ocrin
    0.90
    rencies
    0.90
    ession
    0.87
    iatric
    0.86
    vironments
    0.84
    agog
    0.82
    ilic
    0.82
    SpaceEngineers
    0.81
    osate
    0.79
    icist
    0.79
    Activations Density 0.133%

    No Known Activations