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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. 10-RES-JB
    11. 16514
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    Explanations

    descriptions of luxurious and extravagant settings and items

    oai_token-act-pair · gpt-3.5-turbo

    luxurious and extravagant descriptors related to high-end living and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BIP
    -0.87
    binary
    -0.81
    DEP
    -0.81
    Dispatch
    -0.77
    STEM
    -0.77
     captcha
    -0.75
    geant
    -0.74
    ernels
    -0.73
    Statistics
    -0.73
    igenous
    -0.73
    POSITIVE LOGITS
     hotel
    1.55
     Hotel
    1.54
     luxury
    1.53
     yacht
    1.53
     luxurious
    1.51
     hotels
    1.48
     Hilton
    1.42
     lavish
    1.41
     champagne
    1.39
     glamorous
    1.33
    Activations Density 0.569%

    No Known Activations