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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. 3-RES-JB
    6. 21540
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    Explanations

    adjectives related to being attracted or compelled towards something

    oai_token-act-pair · gpt-3.5-turbo

    the word "drawn" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hal
    -0.71
    mma
    -0.71
    ican
    -0.69
     VIDEOS
    -0.69
    duc
    -0.67
    lly
    -0.67
    eda
    -0.65
    ocker
    -0.65
    ership
    -0.64
    ateral
    -0.63
    POSITIVE LOGITS
     drawn
    1.18
     Drawn
    0.94
     drawing
    0.81
     Drawing
    0.78
    drawn
    0.77
    GGGGGGGG
    0.77
    entious
    0.73
    LIB
    0.70
     irresist
    0.68
    volt
    0.68
    Activations Density 0.007%

    No Known Activations