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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 10698
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    INDEX
    Explanations

    references to specific names, likely focusing on surnames

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to characters or entities in a specific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cele
    -0.83
     dent
    -0.78
    nai
    -0.74
     hospitalized
    -0.72
     amy
    -0.69
     herpes
    -0.69
     paramedics
    -0.68
     phot
    -0.68
     pus
    -0.67
     cath
    -0.66
    POSITIVE LOGITS
     Frog
    3.10
     Horn
    2.05
     Blossom
    1.45
     Crow
    1.45
     Cotton
    1.31
     Crusader
    1.18
     Fog
    1.18
     Worm
    1.17
     Rabbit
    1.17
     Egg
    1.14
    Activations Density 0.024%

    No Known Activations