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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. 11-RES-JB
    11. 488
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    Explanations

    technological advancements and innovations in various industries, especially related to artificial intelligence, data, and high-tech devices

    oai_token-act-pair · gpt-3.5-turbo

    references to advanced technologies and their applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    autions
    -0.83
     chuck
    -0.81
    WAYS
    -0.76
    licted
    -0.73
    uckland
    -0.73
    parents
    -0.71
    #$
    -0.71
    neg
    -0.69
    ylum
    -0.68
    Required
    -0.68
    POSITIVE LOGITS
     robotics
    1.37
     IoT
    1.29
     augmented
    1.28
     computational
    1.22
     analytics
    1.21
     relational
    1.20
     cryptography
    1.19
     blockchain
    1.18
     wearable
    1.17
     cloud
    1.16
    Activations Density 0.269%

    No Known Activations