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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. 3012
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    quotations or dialogue in the text

    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
     booked
    -0.72
     recl
    -0.71
     sibling
    -0.70
     convers
    -0.70
     spotted
    -0.69
     quir
    -0.68
     featured
    -0.67
     witty
    -0.67
     awkwardly
    -0.67
     spor
    -0.67
    POSITIVE LOGITS
    Govern
    1.16
    Therefore
    1.15
    Republicans
    1.07
    Senator
    1.07
    Government
    1.02
    Congress
    1.02
    Unless
    1.01
    Tonight
    0.98
    Democrats
    0.98
     Therefore
    0.98
    Activations Density 0.470%

    No Known Activations