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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "crowded"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "crowd" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hum
    -0.88
    ministic
    -0.81
    reme
    -0.78
    mine
    -0.77
    tymology
    -0.77
    notations
    -0.76
    mental
    -0.76
    rity
    -0.74
    arations
    -0.73
    uracy
    -0.71
    POSITIVE LOGITS
     crowded
    0.82
     overcrowd
    0.77
     queues
    0.72
     arenas
    0.68
     seating
    0.68
     Aren
    0.68
     halls
    0.67
     passages
    0.67
    pread
    0.66
     aboard
    0.66
    Activations Density 0.008%

    No Known Activations