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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. 7-RES-JB
    11. 1972
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to technological advancements and their potential applications

    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
    iquette
    -0.79
     Corinth
    -0.70
     tir
    -0.70
     Franch
    -0.68
     curfew
    -0.67
     resignation
    -0.67
     ital
    -0.67
    jer
    -0.67
     Lonely
    -0.66
     parentheses
    -0.65
    POSITIVE LOGITS
     breakthrough
    1.26
     graphene
    1.14
     computational
    1.11
     nanop
    1.10
     nano
    1.09
     therape
    1.08
     Nano
    1.03
     molecular
    1.02
     scalable
    1.01
     quantum
    1.00
    Activations Density 0.836%

    No Known Activations