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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 4798
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    Explanations

    words related to providing or adapting to specific needs or preferences

    oai_token-act-pair · gpt-3.5-turbo

    words related to providing services that meet specific needs or preferences

    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
     Apostles
    -0.76
     Scotia
    -0.72
     Apostle
    -0.69
    olution
    -0.69
    Es
    -0.65
    ider
    -0.64
     Lauder
    -0.64
     Sul
    -0.62
     Crus
    -0.61
    $$$$
    -0.59
    POSITIVE LOGITS
    pillar
    1.33
     cater
    1.04
    efully
    1.01
    xual
    0.98
     tailor
    0.94
     catering
    0.91
    pill
    0.91
     tailored
    0.80
    ming
    0.80
    eful
    0.80
    Activations Density 0.041%

    No Known Activations