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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. 10-RES-JB
    11. 23301
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    Explanations

    mentions of architectural elements or structures

    oai_token-act-pair · gpt-3.5-turbo

    references to architecture and architectural terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    wagon
    -0.75
    TPS
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    nir
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    cow
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    othal
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    termination
    -0.61
    FFFF
    -0.61
    eworthy
    -0.60
    awar
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     Boone
    -0.60
    POSITIVE LOGITS
    urally
    1.61
    itect
    1.50
    ural
    1.41
     architect
    1.05
     architectural
    0.95
     Architecture
    0.93
     Architect
    0.91
     architects
    0.89
     architecture
    0.87
    Arch
    0.85
    Activations Density 0.043%

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