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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. 3-RES-JB
    11. 17273
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    Explanations

    mentions of mechanical engines

    oai_token-act-pair · gpt-3.5-turbo

    references to engine components or related technology

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    laus
    -1.03
    imedia
    -0.87
    soever
    -0.83
    istani
    -0.77
    elsius
    -0.77
    Ń·
    -0.77
     Childhood
    -0.76
    earcher
    -0.74
    amaru
    -0.73
    dos
    -0.71
    POSITIVE LOGITS
     compartment
    0.91
     engine
    0.87
     powering
    0.84
     braking
    0.81
     prope
    0.80
     engines
    0.80
     trunk
    0.78
     loader
    0.76
     ignition
    0.76
    lane
    0.76
    Activations Density 0.013%

    No Known Activations