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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. 9-RES-JB
    11. 13478
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    Explanations

    phrases related to internet marketing and business tools

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to online marketing tools and resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rontal
    -0.67
    pter
    -0.65
    coal
    -0.63
    patient
    -0.63
     Dreams
    -0.63
    cffffcc
    -0.62
    oÄŁ
    -0.62
    oux
    -0.60
    wash
    -0.59
    ends
    -0.59
    POSITIVE LOGITS
     vying
    1.10
     available
    1.02
     exist
    1.00
     abound
    0.94
     imaginable
    0.92
     lurking
    0.91
     popping
    0.89
     besides
    0.89
    hips
    0.85
     floating
    0.83
    Activations Density 0.360%

    No Known Activations