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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. 3-RES-JB
    11. 6255
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    Explanations

    phrases that contrast different courses of action, focusing on choosing one over the other

    oai_token-act-pair · gpt-3.5-turbo

    comparisons emphasizing "rather than" phrasing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.73
    ENE
    -0.70
    enser
    -0.70
    CLASSIFIED
    -0.68
    amate
    -0.66
    eur
    -0.65
    MG
    -0.65
    iola
    -0.65
    essen
    -0.65
    ESE
    -0.64
    POSITIVE LOGITS
     simply
    0.86
     necessarily
    0.82
     relying
    0.77
     merely
    0.77
     anything
    0.71
     ours
    0.65
     expecting
    0.64
     mere
    0.64
     competing
    0.63
     blindly
    0.63
    Activations Density 0.038%

    No Known Activations