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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
    11. 9110
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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 @ 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
     spiral
    -0.69
     Rae
    -0.66
     Roma
    -0.64
     Donetsk
    -0.63
    IRO
    -0.63
     Dakota
    -0.62
     Senegal
    -0.62
     Gab
    -0.60
     Weir
    -0.59
     Oaks
    -0.59
    POSITIVE LOGITS
    ename
    1.58
    itionally
    1.50
    emen
    1.47
    elines
    1.47
    etime
    1.43
    eworks
    1.43
    emark
    1.41
    eless
    1.41
    eman
    1.38
    ework
    1.37
    Activations Density 0.102%

    No Known Activations