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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. 3934
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    Explanations

    terms related to technology and institutions, especially those with an emphasis on learning and education

    oai_token-act-pair · gpt-3.5-turbo

    instances of the character "J"

    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
    awaru
    -0.81
     hatched
    -0.76
    è¦ļéĨĴ
    -0.76
    ngth
    -0.75
     faked
    -0.74
     tampering
    -0.72
     imperson
    -0.69
     fielded
    -0.68
    aceous
    -0.68
     resemb
    -0.68
    POSITIVE LOGITS
    ÙĨ
    1.00
    ×ķ
    0.94
    Ĵ
    0.93
    ×Ļ×
    0.91
    ר
    0.91
    ׾
    0.90
    LECT
    0.88
    âĸĴ
    0.87
    INE
    0.86
    ×
    0.85
    Activations Density 0.006%

    No Known Activations