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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. 1-RES-JB
    11. 12908
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    Explanations

    locations or scenarios described as crowded

    oai_token-act-pair · gpt-3.5-turbo

    references to crowded situations or environments

    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
    hum
    -0.90
    mine
    -0.83
    reme
    -0.76
    mental
    -0.75
    alties
    -0.74
    notation
    -0.74
    cy
    -0.73
    attribute
    -0.71
    ministic
    -0.69
    tymology
    -0.69
    POSITIVE LOGITS
     crowded
    0.98
     overcrowd
    0.85
    DAQ
    0.77
     queues
    0.76
     passages
    0.72
     accommodations
    0.70
    pread
    0.69
     markets
    0.69
     arenas
    0.68
     Sina
    0.66
    Activations Density 0.008%

    No Known Activations