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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. 6-RES-JB
    6. 4665
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    Explanations

    references to offshore locations or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to offshore financial activities and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    baugh
    -0.89
    ĸļ
    -0.86
    IENCE
    -0.80
    lest
    -0.77
    Interstitial
    -0.76
    otaur
    -0.75
    enance
    -0.75
    gans
    -0.75
    itatively
    -0.75
    umbs
    -0.75
    POSITIVE LOGITS
     offshore
    0.99
     islands
    0.91
    shore
    0.90
     drilling
    0.90
     wind
    0.87
     outsourcing
    0.78
     havens
    0.78
     detention
    0.78
     shore
    0.77
     Graveyard
    0.76
    Activations Density 0.014%

    No Known Activations