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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 5497
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    Explanations

    Japanese names from different fields like entertainment and technology

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to gaming and entertainment

    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
     coinc
    -0.71
     CFR
    -0.70
     crossings
    -0.66
    lus
    -0.65
     advertis
    -0.64
     bc
    -0.64
     android
    -0.63
     AFL
    -0.63
     markets
    -0.62
     comp
    -0.62
    POSITIVE LOGITS
    iken
    3.60
    oki
    3.38
    ickson
    1.29
    oka
    1.12
    iky
    1.08
    ahi
    1.04
    uum
    1.00
    efer
    0.96
    odon
    0.89
    oha
    0.88
    Activations Density 0.031%

    No Known Activations