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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. 14466
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    Explanations

    phrases enclosed in square brackets

    oai_token-act-pair · gpt-3.5-turbo

    instances of brackets or square brackets

    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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    Negative Logits
     hog
    -0.77
     beet
    -0.70
     consumption
    -0.69
     lemon
    -0.68
     maximum
    -0.68
     Orn
    -0.67
     surrogate
    -0.63
     intensive
    -0.62
     farms
    -0.62
     uncertain
    -0.62
    POSITIVE LOGITS
    Pg
    1.41
    ...]
    1.37
    âĢ¦]
    1.36
    sic
    1.12
    Footnote
    1.03
    ?]
    1.02
    paragraph
    1.00
    interstitial
    0.97
    src
    0.96
    ](
    0.95
    Activations Density 0.029%

    No Known Activations