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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. 9-RES-JB
    6. 14617
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    Explanations

    organizations and associations mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "and" in contexts relating to associations or collaborations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    always
    -0.81
    imens
    -0.78
    Synopsis
    -0.77
    turn
    -0.69
     horr
    -0.69
    sie
    -0.68
    ¯
    -0.68
    ̶
    -0.68
    oops
    -0.67
    perfect
    -0.67
    POSITIVE LOGITS
     affiliated
    0.95
     its
    0.94
     others
    0.89
     Thomson
    0.89
     ITS
    0.89
     adjoining
    0.86
     Municipal
    0.86
     Friends
    0.83
     allied
    0.83
    ortium
    0.83
    Activations Density 0.211%

    No Known Activations