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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. 10-RES-JB
    6. 16845
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    Explanations

    phrases related to advice or considerations to be made

    oai_token-act-pair · gpt-3.5-turbo

    phrases that encourage awareness and consideration of important factors or advice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pathetic
    -0.65
     caricature
    -0.64
    CHAT
    -0.63
     pretended
    -0.60
    CHA
    -0.59
     promise
    -0.57
     occupancy
    -0.56
    idth
    -0.55
     tricked
    -0.55
     Claim
    -0.55
    POSITIVE LOGITS
     ASAP
    1.07
     whenever
    1.04
     when
    1.00
     considering
    0.94
     before
    0.94
     if
    0.91
     lest
    0.91
     BEFORE
    0.87
     during
    0.84
     besides
    0.82
    Activations Density 0.217%

    No Known Activations