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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. 6-RES-JB
    11. 10991
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    Explanations

    phrases related to company organization or event structuring

    oai_token-act-pair · gpt-3.5-turbo

    terms related to user engagement and audience demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eas
    -0.60
    imura
    -0.57
     Rac
    -0.56
    anish
    -0.56
    truth
    -0.55
     Johann
    -0.55
     Fountain
    -0.54
     Wast
    -0.54
     answ
    -0.54
     Wim
    -0.53
    POSITIVE LOGITS
     mates
    1.19
    members
    1.18
     comprised
    1.07
     consisting
    1.05
    mates
    1.03
     comprising
    1.01
    naire
    0.98
     members
    0.97
    rons
    0.95
     assembled
    0.94
    Activations Density 0.434%

    No Known Activations