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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. 6-RES-JB
    11. 17167
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to codes, particularly in promotional or procedural contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swer
    -0.90
    esville
    -0.87
    lication
    -0.80
     Ples
    -0.75
    iatus
    -0.73
    quished
    -0.72
    strous
    -0.72
    igation
    -0.71
    riks
    -0.71
    kus
    -0.70
    POSITIVE LOGITS
    codes
    0.96
     codes
    0.92
     snippet
    0.91
    code
    0.87
    otle
    0.79
     coded
    0.79
    velop
    0.77
    ãĥĥãĥī
    0.77
     code
    0.76
    breaker
    0.75
    Activations Density 0.019%

    No Known Activations