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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16369
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    INDEX
    Explanations

    career-related achievements expressed with superlatives, such as "high" and "best."

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to career achievements and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Square
    -0.70
    src
    -0.68
    umo
    -0.67
    mass
    -0.66
    anmar
    -0.66
    forums
    -0.66
    Pros
    -0.66
    microsoft
    -0.64
    mop
    -0.64
    Night
    -0.64
    POSITIVE LOGITS
     scorer
    0.92
     holder
    0.76
     goaltender
    0.75
    LEASE
    0.75
     hitters
    0.75
     holders
    0.70
     breaker
    0.70
     record
    0.70
    inel
    0.69
     designation
    0.67
    Activations Density 0.113%

    No Known Activations