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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. 5275
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    Explanations

    specific electronic devices and models

    oai_token-act-pair · gpt-3.5-turbo

    specific smartphone and gadget model names

    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
    akespeare
    -0.80
     Scully
    -0.80
    animal
    -0.76
    cffff
    -0.75
    msg
    -0.74
    atories
    -0.73
     ILCS
    -0.72
    ocrates
    -0.72
    invoke
    -0.71
    anches
    -0.70
    POSITIVE LOGITS
     XL
    1.01
     Compact
    0.94
     prototype
    0.91
     chipset
    0.91
     Anniversary
    0.90
     variant
    0.87
     Turbo
    0.86
     convertible
    0.86
     chassis
    0.86
     Series
    0.86
    Activations Density 0.181%

    No Known Activations