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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. 2-RES-JB
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    Explanations

    mentions of fiber optic technology

    oai_token-act-pair · gpt-3.5-turbo

    references to fiber in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aurus
    -0.68
     Standing
    -0.68
    ean
    -0.66
    endants
    -0.66
    eton
    -0.65
    BY
    -0.64
    atern
    -0.61
    ammy
    -0.61
    tical
    -0.61
    urat
    -0.60
    POSITIVE LOGITS
     optic
    1.25
     fiber
    1.23
    glass
    1.23
    glas
    1.17
     fibre
    1.13
     fibers
    0.85
     Fiber
    0.85
     optics
    0.83
    iber
    0.78
    fill
    0.76
    Activations Density 0.005%

    No Known Activations