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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. 8-RES-JB
    11. 14877
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    Explanations

    numbers and mathematical expressions

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values and quantifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    venge
    -0.78
    rog
    -0.71
    icism
    -0.70
    porter
    -0.70
    lar
    -0.69
    rium
    -0.68
    lon
    -0.66
    rius
    -0.65
    son
    -0.65
    phis
    -0.64
    POSITIVE LOGITS
     hours
    1.08
     IMAGES
    1.02
     years
    0.97
     acres
    0.92
    percent
    0.92
     pages
    0.92
     percent
    0.91
     tonnes
    0.89
     mph
    0.89
     ILCS
    0.88
    Activations Density 0.066%

    No Known Activations