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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. 18172
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    Explanations

    words related to actions or processes in some sort of structured context

    oai_token-act-pair · gpt-3.5-turbo

    the presence of action verbs and expressions related to plans or processes

    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
    ONSORED
    -0.81
    Imagine
    -0.75
    ModLoader
    -0.72
    ¯
    -0.69
    YL
    -0.66
    âĢķ
    -0.65
    SAN
    -0.63
     fiasco
    -0.63
    Whoever
    -0.62
    Ur
    -0.62
    POSITIVE LOGITS
     exchanged
    0.77
     abound
    0.74
     vary
    0.70
     everywhere
    0.70
     prolifer
    0.66
    hots
    0.66
    wana
    0.65
     plentiful
    0.64
     erupt
    0.64
     routinely
    0.63
    Activations Density 0.503%

    No Known Activations