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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. 3108
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    oai_token-act-pair · gpt-3.5-turbo

    references to file structures and documents

    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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    Negative Logits
    ItemTracker
    -0.80
    ĸļ
    -0.80
    ĵĺ
    -0.80
    ivia
    -0.77
    ebin
    -0.72
    @#&
    -0.68
     stret
    -0.68
    ŃĶ
    -0.67
    Kings
    -0.66
    ŀ
    -0.65
    POSITIVE LOGITS
     Cheong
    1.00
    ionage
    0.83
    mma
    0.78
    chu
    0.75
    ystem
    0.73
    aint
    0.72
    vich
    0.72
    tto
    0.72
    creen
    0.70
    afe
    0.69
    Activations Density 0.009%

    No Known Activations