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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. 9610
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    Explanations

    acronyms and specific terms related to various entities or systems

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to organizations, systems, or standards

    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
    iary
    -0.89
    istically
    -0.85
    tery
    -0.84
    ifications
    -0.78
    itates
    -0.77
    icity
    -0.77
    wagen
    -0.76
    omorphic
    -0.75
    istical
    -0.75
    selling
    -0.74
    POSITIVE LOGITS
    VO
    1.33
    VEL
    1.33
    VER
    1.32
    LL
    1.31
    VICE
    1.29
    VEN
    1.29
    VIS
    1.27
    VOL
    1.26
    VE
    1.24
    ET
    1.20
    Activations Density 0.059%

    No Known Activations