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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. 15309
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    INDEX
    Explanations

    studies or research-related terms such as "study", "research", "conducted", "measured", "focused on", "shown", "carried out", "focused", and "published"

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to scientific studies and their methodology

    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
     glide
    -0.73
     chopping
    -0.73
     Strongh
    -0.69
     Accessories
    -0.67
    fighter
    -0.67
     cords
    -0.66
     haircut
    -0.65
    service
    -0.65
     accessory
    -0.64
     retaliate
    -0.63
    POSITIVE LOGITS
    Study
    1.10
     studying
    1.09
     studies
    1.07
     conducted
    1.04
     methodological
    1.04
     study
    0.99
    published
    0.96
    study
    0.95
     analys
    0.94
     examining
    0.92
    Activations Density 0.325%

    No Known Activations