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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
    11. 12411
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    Explanations

    text related to instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to instructions

    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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    yss
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    olson
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    xious
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    duc
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    bish
    -0.61
     ILCS
    -0.61
    ned
    -0.60
    oner
    -0.59
    POSITIVE LOGITS
     instructions
    0.97
    Instruct
    0.89
     instruction
    0.87
     booklet
    0.85
     Instructions
    0.83
    auri
    0.81
     manuals
    0.79
    aria
    0.79
    eering
    0.78
    urally
    0.77
    Activations Density 0.023%

    No Known Activations