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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. 7508
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    Explanations

    numerical values related to achievements or statistics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to career statistics and achievements

    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
    erity
    -0.81
    usterity
    -0.78
    eda
    -0.77
    imaru
    -0.76
    enser
    -0.75
    iris
    -0.72
    ebook
    -0.72
    icism
    -0.71
    ulture
    -0.69
    urgy
    -0.68
    POSITIVE LOGITS
     acres
    0.98
     pairs
    0.86
     entries
    0.85
     tonnes
    0.85
     slots
    0.84
     deaths
    0.82
     categories
    0.82
     points
    0.81
     miles
    0.80
     tons
    0.79
    Activations Density 0.196%

    No Known Activations