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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. 23670
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    INDEX
    Explanations

    location-based phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or regional identifiers in contexts such as business or media

    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
     analys
    -0.79
     behaviour
    -0.75
     analyse
    -0.74
    ongyang
    -0.72
     adaptations
    -0.70
     composition
    -0.70
     behaviours
    -0.70
     adaptation
    -0.68
     fins
    -0.68
     sugg
    -0.67
    POSITIVE LOGITS
    aucuses
    1.08
     Klux
    0.79
    APTER
    0.78
    edu
    0.77
    immigrant
    0.75
    church
    0.74
    Ohio
    0.74
    population
    0.71
     NAACP
    0.71
    JR
    0.71
    Activations Density 0.372%

    No Known Activations