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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. 4-RES-JB
    11. 17098
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    Explanations

    terms related to optical technology, such as "optic", "optical fiber", and "image stabilization"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to optical technology and imaging

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

    No Comments

    Negative Logits
    enance
    -0.89
    ership
    -0.83
    hur
    -0.82
    ku
    -0.82
    lain
    -0.81
    reddit
    -0.79
    agne
    -0.76
    ulhu
    -0.75
    paid
    -0.73
    eem
    -0.73
    POSITIVE LOGITS
     optical
    1.14
     illusions
    1.09
     fibers
    1.05
     cone
    1.04
     microsc
    1.02
     cones
    1.02
     fibre
    1.00
     fiber
    0.97
     magnification
    0.97
     optics
    0.93
    Activations Density 0.009%

    No Known Activations