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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. 1-RES-JB
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    Explanations

    phrases that mention or suggest something new, like "new front end" or "new ability."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "new" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Zip
    -0.76
    uddin
    -0.73
     actionGroup
    -0.72
    ashtra
    -0.71
    ulhu
    -0.69
    ascript
    -0.69
    lua
    -0.67
    aminer
    -0.67
    icio
    -0.66
    xual
    -0.65
    POSITIVE LOGITS
    bies
    1.09
    bie
    1.06
     arrivals
    1.01
     additions
    0.95
    foundland
    0.93
     entrants
    0.91
     Zealand
    0.89
     discoveries
    0.86
     developments
    0.85
    ãĤ´
    0.83
    Activations Density 0.096%

    No Known Activations