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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. 3-RES-JB
    6. 1609
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    INDEX
    Explanations

    phrases or sentences indicating problems or issues

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "problem."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rib
    -0.94
    orks
    -0.92
    tein
    -0.86
    umber
    -0.86
    urses
    -0.83
    htaking
    -0.81
    vez
    -0.80
    collar
    -0.80
    rica
    -0.78
    cul
    -0.78
    POSITIVE LOGITS
     plag
    0.99
    Problem
    0.99
     confronting
    0.83
     solved
    0.81
     solving
    0.80
     facing
    0.77
    naires
    0.75
     problems
    0.74
     Problem
    0.73
     problem
    0.72
    Activations Density 0.036%

    No Known Activations