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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. 11991
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    Explanations

    entities related to statements or quotations

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "is"

    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
     Gmail
    -0.70
     notebooks
    -0.68
     decap
    -0.68
     illiter
    -0.67
     decomp
    -0.67
     pyramid
    -0.64
     mainland
    -0.64
     parap
    -0.64
     misdem
    -0.63
     liter
    -0.63
    POSITIVE LOGITS
    s
    1.16
    İ
    0.89
    ski
    0.88
    ship
    0.87
    ï¸ı
    0.86
    else
    0.85
    IJ
    0.84
    bly
    0.84
    save
    0.82
    d
    0.79
    Activations Density 0.207%

    No Known Activations