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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. 22128
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    Explanations

    words related to hotels and lodging

    oai_token-act-pair · gpt-3.5-turbo

    references to hotels and hotel-related terms

    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
    20439
    -0.85
    İĭ
    -0.81
    lr
    -0.71
    nan
    -0.71
     Anarchy
    -0.68
    atism
    -0.67
    lihood
    -0.67
    graph
    -0.67
    adle
    -0.67
    ebook
    -0.64
    POSITIVE LOGITS
     rooms
    1.15
     room
    1.05
     lobby
    1.02
     occupancy
    1.01
     hotel
    1.00
     lobb
    0.99
     accommodations
    0.99
     Hotel
    0.97
     Rooms
    0.96
    iers
    0.95
    Activations Density 0.067%

    No Known Activations