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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. 23144
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    Explanations

    phrases indicating causation or explanation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causation or effects

    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
    tone
    -0.65
     Ascension
    -0.64
    zo
    -0.63
    اÙĦ
    -0.63
    ples
    -0.62
    ance
    -0.60
    itri
    -0.59
    builders
    -0.59
    creation
    -0.59
    lite
    -0.59
    POSITIVE LOGITS
    ilver
    1.03
    ettings
    0.99
    paces
    0.98
    ometimes
    0.92
    omething
    0.92
    hift
    0.88
    pace
    0.88
    terness
    0.82
    creen
    0.82
    terday
    0.82
    Activations Density 0.279%

    No Known Activations