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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. 6-RES-JB
    6. 3263
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    INDEX
    Explanations

    adjectives and adverbs denoting degree or intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey a sense of approximation or degree

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DOM
    -0.75
    mage
    -0.72
    ILE
    -0.66
    umbnail
    -0.66
    rongh
    -0.65
    ipes
    -0.62
    ngth
    -0.62
    asc
    -0.61
    gemony
    -0.60
    runs
    -0.60
    POSITIVE LOGITS
     unclear
    0.88
     ironic
    0.85
     obvious
    0.84
     impossible
    0.84
     raining
    0.81
     uphill
    0.81
     evident
    0.80
     interesting
    0.79
     easy
    0.79
     easier
    0.77
    Activations Density 0.319%

    No Known Activations