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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    the word "doing"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "doing" in various contexts

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

    No Comments

    Negative Logits
    Tier
    -0.75
    lights
    -0.69
    mare
    -0.66
    liner
    -0.64
    case
    -0.64
     Dispatch
    -0.64
    Tai
    -0.64
    flags
    -0.63
    uru
    -0.63
    mares
    -0.63
    POSITIVE LOGITS
    omething
    0.89
    berman
    0.85
    ggy
    0.83
    pez
    0.81
    omsday
    0.79
     nothing
    0.77
    lyak
    0.77
    oley
    0.77
     something
    0.73
    女
    0.73
    Activations Density 0.040%

    No Known Activations