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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. 2-RES-JB
    11. 15524
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    INDEX
    Explanations

    instances where concern or worry is expressed over various topics or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of concerns or issues in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingers
    -0.85
    artifacts
    -0.82
    sung
    -0.78
    tiny
    -0.72
    avorite
    -0.71
     slick
    -0.71
    aver
    -0.69
    ammy
    -0.67
    printed
    -0.67
    uscript
    -0.66
    POSITIVE LOGITS
     concern
    1.01
     Concern
    1.00
     concerns
    0.85
     trolling
    0.84
    cerned
    0.83
    enza
    0.81
    wart
    0.80
    warts
    0.78
    lessly
    0.74
    cern
    0.72
    Activations Density 0.020%

    No Known Activations