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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. 4-RES-JB
    11. 9027
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    Explanations

    phrases referencing locations or organizations in Washington, D.C

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and references to locations or legal matters

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

    No Comments

    Negative Logits
    idays
    -0.70
     tremend
    -0.70
    ovych
    -0.67
    hoff
    -0.65
    Downloadha
    -0.64
    CLASS
    -0.61
    objects
    -0.61
     surprise
    -0.61
    zee
    -0.61
     perk
    -0.60
    POSITIVE LOGITS
    ulhu
    1.04
    ioxide
    0.83
    emporary
    0.80
    arette
    0.79
    estine
    0.77
    pillar
    0.74
     Dating
    0.71
    estial
    0.70
     Dele
    0.68
    anwhile
    0.66
    Activations Density 0.207%

    No Known Activations