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    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. 7799
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    Explanations

    quantitative and mathematical terms within a scientific context

    oai_token-act-pair · gpt-3.5-turbo

    references to models and modeling in various contexts

    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
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    No Comments

    Negative Logits
    azar
    -0.81
    avorite
    -0.72
    ulhu
    -0.70
    emouth
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    olulu
    -0.69
    entimes
    -0.68
    odore
    -0.66
    mare
    -0.65
    pin
    -0.65
    omen
    -0.64
    POSITIVE LOGITS
     organism
    0.81
     equations
    0.79
    model
    0.77
    models
    0.77
     Operator
    0.77
    LAB
    0.75
    fitting
    0.71
    oufl
    0.71
     models
    0.69
    eers
    0.67
    Activations Density 0.018%

    No Known Activations