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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. 9-RES-JB
    11. 8710
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    Explanations

    comparisons or contrasts between different options or choices

    oai_token-act-pair · gpt-3.5-turbo

    the word "as" indicating comparisons or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ople
    -0.78
    itiveness
    -0.77
     unlaw
    -0.69
    trak
    -0.62
    irin
    -0.60
    OUS
    -0.57
     Atk
    -0.57
    oller
    -0.57
    erial
    -0.56
    forge
    -0.56
    POSITIVE LOGITS
     opposed
    1.51
     well
    1.22
    phy
    1.08
    well
    1.08
     evidenced
    1.05
     cheaply
    1.01
     soon
    1.00
    pired
    0.97
    pires
    0.91
    cription
    0.87
    Activations Density 0.142%

    No Known Activations