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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. 2-RES-JB
    6. 10104
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    INDEX
    Explanations

    words related to concentration and emphasis

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "focus" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asca
    -0.71
    idden
    -0.70
    xton
    -0.68
    MpServer
    -0.66
    apons
    -0.65
    ihad
    -0.64
     Casino
    -0.64
    NJ
    -0.62
    AFTA
    -0.62
     Tale
    -0.61
    POSITIVE LOGITS
     focus
    0.93
    focus
    0.92
     foc
    0.86
     focuses
    0.85
     focused
    0.84
    Focus
    0.84
     reel
    0.79
    rite
    0.78
     focusing
    0.77
     Focus
    0.77
    Activations Density 0.019%

    No Known Activations