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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. 11-RES-JB
    11. 24181
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to academic faculties or fields of study

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     blister
    -0.90
     resent
    -0.87
     tremend
    -0.86
     flaw
    -0.85
     regress
    -0.84
     clen
    -0.82
     slump
    -0.82
     egreg
    -0.82
     stagger
    -0.81
     aven
    -0.80
    POSITIVE LOGITS
     Clothing
    1.65
     Educational
    1.59
     Miscellaneous
    1.56
     Recreation
    1.53
     Sports
    1.51
     Programming
    1.50
     Electronics
    1.50
     Healthcare
    1.49
     Fitness
    1.48
     Engineering
    1.46
    Activations Density 0.332%

    No Known Activations