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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. 8-RES-JB
    11. 395
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    Explanations

    phrases related to competitions or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competition or rivalry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    querque
    -0.73
    ohn
    -0.72
    geist
    -0.66
    roach
    -0.66
    ribune
    -0.64
    itect
    -0.62
    panic
    -0.62
    quist
    -0.61
    opathy
    -0.61
    cision
    -0.61
    POSITIVE LOGITS
     supremacy
    1.09
     scraps
    1.07
     dominance
    0.84
     survival
    0.82
     prizes
    0.78
    gotten
    0.78
     scarce
    0.77
     belongings
    0.75
    adle
    0.75
     seats
    0.74
    Activations Density 0.119%

    No Known Activations