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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. 10676
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    INDEX
    Explanations

    verbs expressing attribution or categorization

    oai_token-act-pair · gpt-3.5-turbo

    references to actions or statements made about people and their opinions

    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
    maxwell
    -0.64
     Shock
    -0.59
     Revival
    -0.57
     reactive
    -0.57
     ceasefire
    -0.57
     Zeit
    -0.57
     DPR
    -0.56
     Axel
    -0.56
     sts
    -0.55
    resy
    -0.55
    POSITIVE LOGITS
    course
    0.81
     dearly
    0.78
    abouts
    0.73
     deems
    0.70
     deem
    0.68
    unes
    0.68
     cherish
    0.67
    ãĥ¼ãĤ¯
    0.65
    ģĸ
    0.64
    968
    0.64
    Activations Density 0.443%

    No Known Activations