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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. 3-RES-JB
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    Explanations

    references to architectural elements and design

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "architecture."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    early
    -0.73
     Kers
    -0.72
    Scot
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    awar
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    rd
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    eworthy
    -0.66
    cart
    -0.65
    Lear
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    ml
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     Hubbard
    -0.64
    POSITIVE LOGITS
    itect
    1.22
    urally
    1.10
     architecture
    1.06
    ural
    0.91
     Architecture
    0.89
     architectures
    0.88
     mismatch
    0.84
     architect
    0.78
     arrang
    0.78
     architectural
    0.75
    Activations Density 0.014%

    No Known Activations