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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 3919
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    Explanations

    terms related to electrons and their behavior in various contexts, such as in materials, quantum states, and scientific experiments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to electrons and their behavior in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orne
    -0.79
    TIT
    -0.77
    isSpecialOrderable
    -0.74
     Homeless
    -0.73
    Executive
    -0.73
    ORD
    -0.73
    à¨
    -0.72
    ORN
    -0.71
    ij士
    -0.71
    DragonMagazine
    -0.70
    POSITIVE LOGITS
     volts
    0.90
     electron
    0.89
     microscope
    0.87
    brates
    0.84
    ctrl
    0.79
     ions
    0.77
    cules
    0.77
    amination
    0.77
     particle
    0.77
     microsc
    0.76
    Activations Density 0.013%

    No Known Activations