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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. 8326
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    Explanations

    keywords or phrases related to adding new features or content

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the addition of features or elements

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    wh
    -0.73
    ARE
    -0.69
     WATCHED
    -0.68
    bin
    -0.67
    NING
    -0.67
    falls
    -0.67
    cies
    -0.66
    baum
    -0.65
    bi
    -0.62
    ograms
    -0.62
    POSITIVE LOGITS
    endum
    0.98
    itionally
    0.97
     insult
    0.92
    ictions
    0.91
    added
    0.91
    ition
    0.87
     complication
    0.86
    itional
    0.84
    itions
    0.82
    icted
    0.81
    Activations Density 0.038%

    No Known Activations