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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. 6-RES-JB
    11. 20379
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    Explanations

    references to numerical information and financial transactions

    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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    istries
    -0.80
    merce
    -0.74
    edin
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     partName
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     unlaw
    -0.64
    ppings
    -0.64
    uncture
    -0.63
    abases
    -0.63
    £ı
    -0.62
    CHAT
    -0.62
    POSITIVE LOGITS
     progresses
    1.09
     progressed
    0.76
     enters
    0.74
     unfolds
    0.71
     prepares
    0.71
     tries
    0.69
     navig
    0.68
     evolves
    0.68
     develops
    0.67
     grows
    0.66
    Activations Density 0.223%

    No Known Activations