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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. 3-RES-JB
    11. 23402
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    Explanations

    references to the concept of a vacuum

    oai_token-act-pair · gpt-3.5-turbo

    references to vacuums and vacuum-related concepts

    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
    hig
    -0.86
    igel
    -0.84
    ihad
    -0.77
    itia
    -0.77
    cs
    -0.74
    uana
    -0.74
    oras
    -0.72
    ione
    -0.72
    gd
    -0.71
    olid
    -0.70
    POSITIVE LOGITS
     cleaners
    1.11
     cleaner
    1.08
     vacuum
    1.00
     chamber
    0.77
     insulated
    0.76
     oven
    0.76
     ventilation
    0.75
     vacc
    0.73
     aspiration
    0.73
     swarm
    0.71
    Activations Density 0.007%

    No Known Activations