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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. 22282
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    Explanations

    phrases indicating the potential to improve or take action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the ability or possibility of action

    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
    mes
    -0.64
    Winged
    -0.63
    Listener
    -0.62
    IL
    -0.62
    ilty
    -0.61
     Related
    -0.59
    reth
    -0.59
    Lenin
    -0.58
    idelines
    -0.57
     Cly
    -0.56
    POSITIVE LOGITS
     easily
    1.11
     safely
    1.01
     cheaply
    0.92
     anywhere
    0.90
     feas
    0.87
     comfortably
    0.86
     plaus
    0.85
    ivably
    0.84
     anytime
    0.81
     whatever
    0.80
    Activations Density 0.255%

    No Known Activations