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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. 0-RES-JB
    11. 1748
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    Explanations

    locations, specifically 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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     snap
    -0.74
    SOURCE
    -0.68
     discipl
    -0.67
     growth
    -0.66
     blockers
    -0.66
     hind
    -0.66
     bip
    -0.65
     developmental
    -0.65
     stem
    -0.64
     plur
    -0.64
    POSITIVE LOGITS
     Hotel
    3.73
     hotel
    1.99
     hotels
    1.83
     Resort
    1.72
     Café
    1.62
     Cafe
    1.59
     Marriott
    1.58
     Restaurant
    1.54
     Casino
    1.53
     Hilton
    1.44
    Activations Density 0.016%

    No Known Activations