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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 8845
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    Explanations

    mentions of the city of Los Angeles

    oai_token-act-pair · gpt-3.5-turbo

    references to Los Angeles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.86
    BOOK
    -0.79
    oulos
    -0.73
    displayText
    -0.71
     miscarriage
    -0.70
    ueller
    -0.68
    onies
    -0.66
    ï¸ı
    -0.66
    OPLE
    -0.65
    addons
    -0.65
    POSITIVE LOGITS
     Angeles
    1.66
     Alam
    0.98
     Los
    0.95
     Santos
    0.89
     Dos
    0.84
     Padres
    0.84
     Vegas
    0.83
     ANGEL
    0.83
    ction
    0.80
     Lumpur
    0.79
    Activations Density 0.010%

    No Known Activations