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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 18111
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of comment syntax in code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ylum
    -0.86
    edom
    -0.85
     tsunami
    -0.84
    phrine
    -0.83
    ĺħ
    -0.83
     tide
    -0.81
    vertisement
    -0.79
     satell
    -0.77
     livest
    -0.74
     staggered
    -0.73
    POSITIVE LOGITS
    ////////
    1.16
    ////////////////
    1.12
    wcsstore
    1.11
    ////////////////////////////////
    1.08
    ////
    1.05
    ++++++++++++++++
    1.03
    ================================================================
    0.95
    ERROR
    0.91
    Applications
    0.90
    TL
    0.88
    Activations Density 0.008%

    No Known Activations