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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. 10-RES-JB
    6. 17538
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    Explanations

    phrases related to addressing issues or concerns

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to addressing issues or concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ograms
    -0.78
    akin
    -0.77
    \/
    -0.71
    rug
    -0.70
    writ
    -0.69
    apps
    -0.68
    OGR
    -0.67
    ographs
    -0.67
    walk
    -0.67
     externalToEVAOnly
    -0.67
    POSITIVE LOGITS
     issues
    1.32
     concerns
    1.26
     shortcomings
    1.22
     deficiencies
    1.15
     questions
    1.14
     misconceptions
    1.11
     problems
    1.10
     grievances
    1.10
     criticisms
    1.00
     Issues
    1.00
    Activations Density 0.066%

    No Known Activations