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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. 4-RES-JB
    11. 11360
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    oai_token-act-pair · gpt-3.5-turbo

    numerical data and identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    inki
    -0.80
    ghan
    -0.67
     lest
    -0.65
     shove
    -0.63
     Pixar
    -0.63
    bender
    -0.62
     cour
    -0.59
    netflix
    -0.58
    rica
    -0.57
    ãĤ¼
    -0.56
    POSITIVE LOGITS
    bilt
    0.99
    ĪĴ
    0.74
    achev
    0.73
    export
    0.70
     Vo
    0.70
    oÄŁ
    0.67
    AIDS
    0.66
    ovsky
    0.65
    enz
    0.64
    hei
    0.63
    Activations Density 0.414%

    No Known Activations