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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. 8-RES-JB
    6. 5129
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    Explanations

    percentage values expressed in different formats

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to statistical data and quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ®
    -0.70
    Ü
    -0.68
    hovah
    -0.67
    \\\\\\\\
    -0.64
     millenn
    -0.62
    ÃĥÃĤ
    -0.60
    rique
    -0.59
    PDATE
    -0.58
    SEE
    -0.57
    DEBUG
    -0.56
    POSITIVE LOGITS
     subtract
    0.76
     oranges
    0.76
     thickness
    0.75
     ratio
    0.74
     deductions
    0.73
     cubes
    0.73
     sizes
    0.72
     ounces
    0.72
     ratios
    0.72
    tein
    0.71
    Activations Density 1.222%

    No Known Activations