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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. 3569
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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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    No Comments

    Negative Logits
     excel
    -0.63
    appropriately
    -0.61
     frenzy
    -0.58
    verbs
    -0.57
    successfully
    -0.55
     participates
    -0.55
     parap
    -0.54
    olon
    -0.54
     vacancies
    -0.54
     QR
    -0.54
    POSITIVE LOGITS
     compared
    0.88
     considering
    0.86
    etheless
    0.85
     because
    0.84
    Reviewer
    0.74
     :(
    0.73
     regarding
    0.73
     regards
    0.73
    --------------------------------------------------------
    0.73
    because
    0.71
    Activations Density 0.308%

    No Known Activations