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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. 6-RES-JB
    11. 14103
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    terms related to optics and optical technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to optical technology and fiber optics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    enance
    -0.88
    agne
    -0.82
    ku
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    ership
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    hov
    -0.79
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    reddit
    -0.77
     Lann
    -0.76
    heit
    -0.76
    ilts
    -0.74
    POSITIVE LOGITS
     illusions
    1.12
     fibre
    1.10
     fiber
    1.08
     optical
    1.07
     fibers
    1.05
     microsc
    1.03
     cone
    0.99
     neur
    0.96
     magnification
    0.93
     cones
    0.92
    Activations Density 0.012%

    No Known Activations