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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. 8-RES-JB
    11. 11081
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    Explanations

    references to hotel-related entities and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to hotels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    İĭ
    -0.78
    nan
    -0.76
     Anarchy
    -0.72
    rations
    -0.71
    20439
    -0.70
    nir
    -0.70
     instr
    -0.67
    nces
    -0.66
    xit
    -0.66
    alys
    -0.63
    POSITIVE LOGITS
     rooms
    1.11
     occupancy
    1.04
     room
    0.99
     guests
    0.97
     accommodations
    0.94
     hotel
    0.93
     Hotel
    0.88
     lobb
    0.88
     lobby
    0.85
     accommodation
    0.84
    Activations Density 0.046%

    No Known Activations