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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. 23318
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    INDEX
    Explanations

    phrases related to causality or influence

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to," indicating a focus on expressions of purpose or intention

    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
     contrace
    -0.70
     tucked
    -0.70
     handled
    -0.68
    Pixel
    -0.67
     geared
    -0.67
     toured
    -0.67
     todd
    -0.66
     cared
    -0.65
     headlined
    -0.65
     touched
    -0.65
    POSITIVE LOGITS
    icial
    0.82
    ãĥĨãĤ£
    0.73
     extinction
    0.70
    ãĤ´ãĥ³
    0.66
    minist
    0.66
    ãĥĩãĤ£
    0.66
    ym
    0.66
     breakthrough
    0.66
    obin
    0.65
    ournal
    0.65
    Activations Density 0.088%

    No Known Activations