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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. 9-RES-JB
    11. 3672
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    Explanations

    numerical values preceded by a dollar sign

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating monetary amounts or financial transactions

    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
     exception
    -0.64
     exceptions
    -0.58
    Point
    -0.57
    cially
    -0.56
     adapted
    -0.56
    iculty
    -0.55
     fict
    -0.55
    hyde
    -0.54
    irection
    -0.53
    river
    -0.53
    POSITIVE LOGITS
     compensate
    0.88
    adies
    0.87
    ggles
    0.83
     commemorate
    0.79
     achieve
    0.76
    ilet
    0.75
     acquire
    0.72
     accommodate
    0.70
    witz
    0.70
     settle
    0.70
    Activations Density 0.097%

    No Known Activations