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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. 7-RES-JB
    6. 15606
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    Explanations

    acronyms related to organizations

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to organizations and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perse
    -0.72
    enegger
    -0.71
    heimer
    -0.68
    initialized
    -0.66
     tion
    -0.66
    flies
    -0.65
    sov
    -0.64
    accompanied
    -0.64
    fitting
    -0.63
    wagen
    -0.63
    POSITIVE LOGITS
    AN
    1.05
    OE
    1.05
    Ps
    1.02
    OF
    1.02
    Bs
    1.01
    BC
    0.97
    UF
    0.95
    RM
    0.95
    IENT
    0.95
    PLIC
    0.94
    Activations Density 0.116%

    No Known Activations