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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. 4-RES-JB
    11. 24101
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    Explanations

    references to the sport of disc golf

    oai_token-act-pair · gpt-3.5-turbo

    references to disc golf

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

    Negative Logits
    aukee
    -0.74
    terday
    -0.70
     Holmes
    -0.66
    atory
    -0.65
    tons
    -0.63
    paces
    -0.62
     Asians
    -0.61
    \<
    -0.61
     Daw
    -0.60
     Home
    -0.59
    POSITIVE LOGITS
    erning
    1.17
    ourses
    1.15
    ursive
    1.04
    ontent
    1.02
    rim
    1.00
    arding
    0.98
    ounter
    0.96
    ussions
    0.96
    arbon
    0.95
    ont
    0.94
    Activations Density 0.008%

    No Known Activations