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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8589
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    Explanations

    terms related to safety and potential threats, particularly in the context of physical locations like power plants

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety and security within technical or operational contexts

    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
    ij士
    -0.61
    ãĥ£
    -0.54
    '."
    -0.52
    manent
    -0.50
    )."
    -0.49
    ×ŀ
    -0.48
    pload
    -0.48
     diligent
    -0.47
    ãĥ¼ãĥĨãĤ£
    -0.47
    ),"
    -0.46
    POSITIVE LOGITS
    ↵
    1.28
    ↵Âł
    1.24
    <|endoftext|>
    1.14
     Read
    1.12
    ↵↵
    1.07
     Advertisement
    1.04
     Posted
    1.03
     Copyright
    1.00
     Photograph
    0.93
     https
    0.93
    Activations Density 0.960%

    No Known Activations