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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. 19997
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    Explanations

    names and entities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or entities

    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
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    Negative Logits
    soDeliveryDate
    -0.66
    yip
    -0.54
    minecraft
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    inki
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    natureconservancy
    -0.52
    worldly
    -0.52
    redo
    -0.51
    theless
    -0.50
    achev
    -0.50
    uddin
    -0.49
    POSITIVE LOGITS
    Ö¼
    0.59
    ierre
    0.59
     Entry
    0.55
    illard
    0.54
    »Ĵ
    0.51
     Experimental
    0.51
    ADRA
    0.51
    ethy
    0.50
    alion
    0.49
     Pact
    0.49
    Activations Density 0.740%

    No Known Activations