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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. 6-RES-JB
    11. 20546
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    INDEX
    Explanations

    numbers with decimal points, particularly higher values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, specifically related to large quantities or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raltar
    -0.71
    pty
    -0.68
    adobe
    -0.63
    rament
    -0.63
    busters
    -0.62
    pocket
    -0.62
    ributed
    -0.62
    nuts
    -0.60
     liber
    -0.59
    parser
    -0.59
    POSITIVE LOGITS
    GHz
    1.01
     million
    0.94
     billion
    0.89
     crore
    0.86
    66666666
    0.85
     percent
    0.85
     trillion
    0.84
     ±
    0.83
    million
    0.81
     acres
    0.81
    Activations Density 0.074%

    No Known Activations