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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. 12-RES-JB
    6. 2345
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    Explanations

    references to societal or community issues related to education, legal systems, and foreign policy

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to individuals and their interactions within a community context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Reborn
    -0.70
    MpServer
    -0.64
     Ascension
    -0.63
    senal
    -0.60
     PSP
    -0.60
     MPEG
    -0.57
     Rocks
    -0.56
     Rebirth
    -0.56
     datas
    -0.55
     Rhodes
    -0.53
    POSITIVE LOGITS
    âĢ
    1.13
     disagree
    1.06
     disagrees
    1.02
     wonder
    1.01
     worry
    0.99
     disapprove
    0.99
     doubts
    0.97
     think
    0.97
     believe
    0.97
     thinks
    0.96
    Activations Density 0.557%

    No Known Activations