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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. 5071
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    Explanations

    direct speech utterances marked with a colon at the end

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or statements from individuals

    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
    Not in Any Lists

    No Comments

    Negative Logits
    bilt
    -0.61
     manif
    -0.61
     boosters
    -0.59
     happ
    -0.55
    hawks
    -0.54
    ebin
    -0.54
     recomm
    -0.54
     calculus
    -0.53
     elim
    -0.52
     tremend
    -0.52
    POSITIVE LOGITS
     "[
    1.17
     "'
    1.15
     "(
    1.12
     "
    1.11
     '[
    1.08
     ""
    1.08
     ''
    1.08
     "@
    1.03
     '
    1.01
     "#
    1.00
    Activations Density 0.048%

    No Known Activations