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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. 9192
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    Explanations

    references to physical rooms or enclosed spaces

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific rooms

    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
     Iss
    -0.74
    HER
    -0.68
     Uz
    -0.62
     landfall
    -0.62
     hurd
    -0.60
     disenfranch
    -0.59
     Franch
    -0.58
     Bonds
    -0.58
    gpu
    -0.58
     retirees
    -0.57
    POSITIVE LOGITS
    ful
    1.03
    room
    1.03
     occupancy
    1.02
     divid
    1.00
    lain
    0.99
    itory
    0.96
    rooms
    0.94
     upstairs
    0.93
    warming
    0.92
    clock
    0.88
    Activations Density 0.074%

    No Known Activations