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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. 5-RES-JB
    6. 3043
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    Explanations

    phrases related to various scenes or communities

    oai_token-act-pair · gpt-3.5-turbo

    references to various "scenes" across different cultural contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gund
    -0.75
    thood
    -0.71
    heit
    -0.70
    ippi
    -0.66
    icrobial
    -0.65
    ã
    -0.64
    endars
    -0.64
    oug
    -0.64
    ono
    -0.63
    milo
    -0.62
    POSITIVE LOGITS
    LINE
    0.86
    osphere
    0.82
    Quote
    0.69
    Capture
    0.69
    >>>>>>>>
    0.68
    Dialogue
    0.68
    ologist
    0.68
    Oracle
    0.67
     Scene
    0.67
    scene
    0.65
    Activations Density 0.016%

    No Known Activations