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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. 5-RES-JB
    6. 6036
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    INDEX
    Explanations

    phrases that assert a specific statement or fact

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating causality or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERY
    -0.73
    è¦ļéĨĴ
    -0.67
    imum
    -0.67
    lishing
    -0.67
    ä¸Ĭ
    -0.65
     pulp
    -0.65
    Ingredients
    -0.64
    thood
    -0.63
    RM
    -0.62
    agna
    -0.61
    POSITIVE LOGITS
    abouts
    0.78
    else
    0.76
    aternity
    0.73
    along
    0.71
    omew
    0.67
    atan
    0.67
     kindred
    0.67
    too
    0.66
     occasions
    0.66
    grounds
    0.65
    Activations Density 0.126%

    No Known Activations