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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. 7-RES-JB
    11. 9683
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    Explanations

    phrases containing the word "lie" indicating a hidden truth or a situation

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    expr
    -0.72
    selage
    -0.71
    outine
    -0.69
    ilar
    -0.68
    iling
    -0.68
    mob
    -0.66
    ilee
    -0.65
    agers
    -0.65
    iled
    -0.64
    acks
    -0.62
    POSITIVE LOGITS
     squarely
    0.91
     dormant
    0.88
     Bene
    0.75
     behind
    0.73
    uten
    0.73
     Behind
    0.73
    Behind
    0.72
    uate
    0.72
     upstream
    0.72
     downstream
    0.71
    Activations Density 0.054%

    No Known Activations