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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. 8-RES-JB
    11. 11429
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    Explanations

    statements or testimonies from individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of speech or testimony with a focus on statements made by individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pont
    -0.83
    2020
    -0.81
    ãĥ¯
    -0.78
    otype
    -0.78
    EEE
    -0.77
    ularity
    -0.72
    ranch
    -0.70
    brid
    -0.70
    æĸ¹
    -0.70
    align
    -0.70
    POSITIVE LOGITS
     he
    0.83
     afterward
    0.82
     harrowing
    0.80
     she
    0.80
     they
    0.78
     witnesses
    0.77
     afterwards
    0.75
     Mahmoud
    0.75
     ordeal
    0.75
     cops
    0.75
    Activations Density 0.234%

    No Known Activations