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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
    11. 13369
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    Explanations

    speeds in miles per hour (mph)

    oai_token-act-pair · gpt-3.5-turbo

    references to speed measurements or units of velocity

    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
    gotten
    -0.79
    nam
    -0.79
    hus
    -0.72
    pty
    -0.70
    earcher
    -0.70
    lict
    -0.70
    bern
    -0.68
    arov
    -0.67
    idas
    -0.67
     colle
    -0.67
    POSITIVE LOGITS
    mph
    1.02
     mph
    0.97
     speed
    0.85
     speeds
    0.83
     MPH
    0.76
    ometers
    0.72
    BIP
    0.71
     cruising
    0.70
     relent
    0.70
     fastball
    0.70
    Activations Density 0.010%

    No Known Activations