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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. 11-RES-JB
    11. 12703
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    Explanations

    information related to the capacity or accommodation of people or items

    oai_token-act-pair · gpt-3.5-turbo

    information related to capacity and accommodation of groups or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uture
    -0.79
     pse
    -0.71
     glitches
    -0.66
    terday
    -0.64
    saf
    -0.63
    à¨
    -0.63
    à©
    -0.63
     coinc
    -0.63
     à¨
    -0.62
     corrosion
    -0.61
    POSITIVE LOGITS
     occupants
    1.13
     guests
    0.98
     adults
    0.98
     passengers
    0.95
     households
    0.95
     crew
    0.93
     comfortably
    0.91
     occupant
    0.90
     occupancy
    0.88
     persons
    0.88
    Activations Density 0.329%

    No Known Activations