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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 7807
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    Explanations

    mentions of proper nouns in news or information text

    oai_token-act-pair · gpt-3.5-turbo

    specific names and phrases related to "Lion" and associated terminology

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

    No Comments

    Negative Logits
     mathemat
    -0.90
    ulative
    -0.83
    ammy
    -0.79
    missive
    -0.74
     reluct
    -0.74
     Kuh
    -0.70
    nesota
    -0.70
    arcity
    -0.68
    abies
    -0.66
    ESH
    -0.65
    POSITIVE LOGITS
    naire
    0.95
    xon
    0.81
    bell
    0.78
    ning
    0.77
    fire
    0.76
    clair
    0.71
    ball
    0.70
    hao
    0.69
    urnal
    0.68
    beer
    0.67
    Activations Density 0.034%

    No Known Activations