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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. 10-RES-JB
    11. 21402
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    Explanations

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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     unaccount
    -0.85
     elim
    -0.75
     recomp
    -0.75
     demol
    -0.74
     relinqu
    -0.73
     elimination
    -0.73
     impartial
    -0.73
     invari
    -0.72
     inspections
    -0.72
     remod
    -0.72
    POSITIVE LOGITS
    Reddit
    1.73
    Twitter
    1.67
    Pinterest
    1.67
    Tumblr
    1.64
    Email
    1.59
    LinkedIn
    1.59
    Facebook
    1.55
    Pocket
    1.52
    Google
    1.51
    Print
    1.38
    Activations Density 0.032%

    No Known Activations