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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. 7-RES-JB
    11. 2878
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    Explanations

    phrases related to gaining a comprehensive understanding or insight

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to understanding the broader context or essential truths behind a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heid
    -0.72
    ilan
    -0.70
    avement
    -0.70
    attery
    -0.69
    rican
    -0.68
    irms
    -0.68
    ammers
    -0.67
     Leone
    -0.66
    odge
    -0.66
    ega
    -0.65
    POSITIVE LOGITS
    iest
    0.91
     workings
    0.89
     WHY
    0.85
     underlying
    0.85
     backstory
    0.83
     complexities
    0.81
     nuances
    0.79
     ingredient
    0.79
     thereof
    0.78
     difference
    0.78
    Activations Density 0.206%

    No Known Activations