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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. 5730
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    Explanations

    phrases related to different types of professionals, worldwide challenges, and concerns

    oai_token-act-pair · gpt-3.5-turbo

    references to diverse groups or individuals who are impacted by various societal issues

    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
    rection
    -0.72
     applause
    -0.66
    orate
    -0.65
     livest
    -0.62
    ocide
    -0.62
    theless
    -0.61
    ioxide
    -0.59
     nominations
    -0.59
    shall
    -0.59
    acebook
    -0.58
    POSITIVE LOGITS
     contemplating
    1.34
     wishing
    1.31
     seeking
    1.31
     aspiring
    1.22
     accustomed
    1.19
     wanting
    1.19
     grappling
    1.17
     encountering
    1.14
     struggling
    1.12
     interested
    1.12
    Activations Density 0.270%

    No Known Activations