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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. 10852
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    Explanations

    phrases related to actions taken or being taken on something

    oai_token-act-pair · gpt-3.5-turbo

    words related to physical contact, handling, or manipulation

    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
     retri
    -0.65
    minist
    -0.59
    女
    -0.57
     scrimmage
    -0.57
    upon
    -0.57
     Siber
    -0.56
    ä
    -0.56
    ADRA
    -0.56
    Balt
    -0.55
     Antar
    -0.55
    POSITIVE LOGITS
    olicy
    0.90
    terday
    0.80
    acket
    0.80
    odcast
    0.76
    undown
    0.74
    ules
    0.72
    berra
    0.71
    onent
    0.71
    inion
    0.71
    rodu
    0.71
    Activations Density 0.016%

    No Known Activations