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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. 20391
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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
    imer
    -0.89
    geist
    -0.79
     Shack
    -0.77
    vironments
    -0.77
    matter
    -0.75
    illon
    -0.70
     Faust
    -0.69
    icably
    -0.66
     Catalyst
    -0.66
     Bord
    -0.66
    POSITIVE LOGITS
     Cancel
    0.88
     login
    0.79
     delete
    0.70
     eject
    0.68
    ...)
    0.68
    ause
    0.67
     WRITE
    0.66
     embargo
    0.66
    interstitial
    0.66
     notification
    0.66
    Activations Density 0.055%

    No Known Activations