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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 20942
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    INDEX
    Explanations

    phrases or sentences related to socio-economic issues

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    scribe
    -0.80
    ļéĨĴ
    -0.79
    venth
    -0.74
    ãĥ¥
    -0.74
    ãĤ¦ãĤ¹
    -0.73
    ãģł
    -0.73
    ibo
    -0.71
    ãĤ¨ãĥ«
    -0.71
    ogly
    -0.70
    ãĤ½
    -0.69
    POSITIVE LOGITS
     however
    0.83
     policymakers
    0.82
     Pulitzer
    0.75
     economists
    0.75
     meanwhile
    0.72
     populism
    0.68
     analysts
    0.68
     perceptions
    0.67
     endemic
    0.65
     Mehran
    0.65
    Activations Density 0.379%

    No Known Activations