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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. 16215
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    Explanations

    mentions of hotels

    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 @ 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
    xit
    -0.71
     Izan
    -0.70
    umbnail
    -0.69
     Matter
    -0.69
     Anarchy
    -0.68
    alez
    -0.67
    tan
    -0.66
    lang
    -0.66
    alys
    -0.66
    nir
    -0.65
    POSITIVE LOGITS
     hotel
    1.02
     hotels
    0.98
     Hotel
    0.97
     rooms
    0.95
     accommodations
    0.95
     guests
    0.91
     resorts
    0.86
     room
    0.83
     Hilton
    0.81
     motel
    0.81
    Activations Density 0.028%

    No Known Activations