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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. 5-RES-JB
    6. 1912
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    Explanations

    dialogue related to discussions or conversations

    oai_token-act-pair · gpt-3.5-turbo

    dialogues and conversational interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocations
    -0.72
    etheless
    -0.71
    é¾įå
    -0.68
    yet
    -0.63
    moil
    -0.63
    Fla
    -0.62
    imes
    -0.62
     oneself
    -0.62
     Previous
    -0.61
    ielding
    -0.60
    POSITIVE LOGITS
     me
    0.90
     whine
    0.71
     us
    0.68
     tyr
    0.66
     fuckin
    0.65
     bark
    0.64
     remorse
    0.64
    istar
    0.64
     nicer
    0.64
     biscuits
    0.62
    Activations Density 0.914%

    No Known Activations