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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. 10-RES-JB
    11. 4459
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    Explanations

    phrases related to tax fairness and political campaigns with specific names mentioned

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     "$:/
    -0.74
     intrins
    -0.68
    lander
    -0.66
    igslist
    -0.61
    ulative
    -0.59
     Scrolls
    -0.58
    ãĤ¨ãĥ«
    -0.58
     warr
    -0.57
     orally
    -0.57
    oslav
    -0.56
    POSITIVE LOGITS
     ObamaCare
    0.68
     FEC
    0.65
    Bernie
    0.63
     CEOs
    0.62
     Kavanaugh
    0.61
     Charity
    0.58
     Warren
    0.58
     NRA
    0.58
    Ĥİ
    0.57
     MORE
    0.57
    Activations Density 0.021%

    No Known Activations