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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. 13485
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    Explanations

    numerical values or technical terms within code snippets

    oai_token-act-pair · gpt-3.5-turbo

    terms related to updates and changes in systems or processes

    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
    otta
    -0.56
    omorphic
    -0.53
    anova
    -0.51
    Brit
    -0.50
    ammad
    -0.50
    natureconservancy
    -0.48
     hating
    -0.45
    olitical
    -0.45
    nick
    -0.45
    root
    -0.44
    POSITIVE LOGITS
    nesday
    0.50
     Schultz
    0.48
     Collider
    0.47
     guiName
    0.46
     Destination
    0.45
    enment
    0.45
     Base
    0.45
     Wonderland
    0.45
    eatures
    0.45
    atche
    0.45
    Activations Density 1.423%

    No Known Activations