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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
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    Explanations

    geographical locations, specifically the city of Los Angeles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Los Angeles

    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
    vous
    -0.73
    theless
    -0.71
     basket
    -0.69
    displayText
    -0.67
    arity
    -0.66
    BOOK
    -0.66
     neutrality
    -0.65
    Ü
    -0.65
    essential
    -0.65
    nels
    -0.64
    POSITIVE LOGITS
     Angeles
    1.33
     Lakers
    1.02
     County
    0.95
     Clippers
    0.94
     Times
    0.91
     Unified
    0.90
     Chargers
    0.90
     Lumpur
    0.90
     Dodgers
    0.90
     Rams
    0.86
    Activations Density 0.017%

    No Known Activations