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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. 3-RES-JB
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    Explanations

    references to workshops

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "workshop."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    croft
    -0.76
    ties
    -0.66
    thood
    -0.62
    anthrop
    -0.61
    terior
    -0.61
    judicial
    -0.61
    sec
    -0.60
     iod
    -0.60
    vation
    -0.58
    yll
    -0.58
    POSITIVE LOGITS
    smanship
    1.03
     workshop
    0.93
    rador
    0.85
     Workshop
    0.83
    dayName
    0.82
     srfAttach
    0.82
    yrinth
    0.82
    ItemTracker
    0.79
     workshops
    0.78
    craft
    0.78
    Activations Density 0.011%

    No Known Activations