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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. 2054
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    Explanations

    references to specific brand names or products

    oai_token-act-pair · gpt-3.5-turbo

    keywords associated with certain products and their controversies

    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
    Not in Any Lists

    No Comments

    Negative Logits
    nce
    -0.70
     NEC
    -0.69
     DAV
    -0.68
     VID
    -0.62
    orem
    -0.59
    âĨ
    -0.59
    behind
    -0.59
    ====
    -0.59
    GW
    -0.58
    GF
    -0.58
    POSITIVE LOGITS
    rontal
    0.80
    inic
    0.79
    nesses
    0.79
    oha
    0.77
    nikov
    0.76
    ervatives
    0.75
    itton
    0.74
    mson
    0.73
    ian
    0.72
    aga
    0.72
    Activations Density 0.056%

    No Known Activations