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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. 16235
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    Explanations

    references to school-related events and incidents

    oai_token-act-pair · gpt-3.5-turbo

    incidents related to disciplinary actions in educational settings

    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
    Not in Any Lists

    No Comments

    Negative Logits
    \)
    -0.75
     ideally
    -0.69
    isSpecialOrderable
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    }}}
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    folio
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    Without
    -0.64
    generation
    -0.63
    Disclaimer
    -0.62
    Background
    -0.61
    phase
    -0.61
    POSITIVE LOGITS
     similarly
    0.95
     another
    0.91
     Urug
    0.84
    another
    0.83
     Kuwait
    0.74
     Jol
    0.74
     Mahm
    0.74
     Frenchman
    0.74
     Same
    0.73
     Another
    0.71
    Activations Density 0.948%

    No Known Activations