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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. 9-RES-JB
    11. 11687
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.73
    20439
    -0.72
    nan
    -0.68
     Anarchy
    -0.68
    rf
    -0.67
    umbnail
    -0.67
    nir
    -0.65
    theless
    -0.65
    xit
    -0.64
    byss
    -0.64
    POSITIVE LOGITS
     rooms
    1.13
     occupancy
    1.05
     room
    1.02
     guests
    1.01
     accommodations
    0.96
     hotel
    0.95
     Hotel
    0.93
     Rooms
    0.90
    Tonight
    0.88
     lobb
    0.87
    Activations Density 0.062%

    No Known Activations