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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. 6-RES-JB
    11. 18450
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oval
    -0.83
     biome
    -0.71
     inhab
    -0.69
     infiltr
    -0.68
     probing
    -0.68
     proven
    -0.66
    rogram
    -0.66
     Galile
    -0.66
     rugged
    -0.66
    htaking
    -0.65
    POSITIVE LOGITS
    é¾įå
    1.01
     coupons
    0.99
     kios
    0.93
     coupon
    0.92
    Cola
    0.90
     Club
    0.89
     bottles
    0.88
     Café
    0.88
     supermarket
    0.87
     Discount
    0.86
    Activations Density 0.927%

    No Known Activations