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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. 13553
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    INDEX
    Explanations

    mentions of named entities like companies, locations, and people

    oai_token-act-pair · gpt-3.5-turbo

    specific names or titles related to locations, events, and people

    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
    )=(
    -0.65
    assetsadobe
    -0.64
    mosp
    -0.53
     unl
    -0.52
    tering
    -0.52
     coerc
    -0.52
     livest
    -0.51
     agre
    -0.50
     acknow
    -0.50
    ][/
    -0.50
    POSITIVE LOGITS
     Prescott
    0.58
     Marathon
    0.57
    Fest
    0.57
    ixt
    0.53
    eez
    0.53
    zon
    0.53
     Dare
    0.52
    keye
    0.51
    Runner
    0.51
    gram
    0.50
    Activations Density 0.608%

    No Known Activations