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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. 12-RES-JB
    11. 5073
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    INDEX
    Explanations

    historical events and dates presented in a narrative format

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

    sentences or ideas related to significant historical events and figures

    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
     challeng
    -1.25
     volunte
    -1.22
     nodd
    -1.19
     tremend
    -1.18
    ¥ŀ
    -1.17
     gobl
    -1.16
     millenn
    -1.16
     veter
    -1.14
     carbohyd
    -1.11
     glim
    -1.09
    POSITIVE LOGITS
     Shortly
    1.48
     Eventually
    1.39
     Afterwards
    1.37
     Later
    1.36
     Following
    1.36
     During
    1.32
     Upon
    1.28
     Initially
    1.25
     Within
    1.25
     Throughout
    1.25
    Activations Density 0.462%

    No Known Activations