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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. 17718
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    Explanations

    words related to a specific entity or location, specifically "Deep"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Deep" in various contexts

    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
    uably
    -0.86
    cules
    -0.83
    ICAN
    -0.82
    udence
    -0.71
    yip
    -0.70
     Speedway
    -0.69
    Īè
    -0.67
     grace
    -0.66
    Ń·
    -0.66
    YR
    -0.65
    POSITIVE LOGITS
    ly
    0.90
    ness
    0.90
    water
    0.89
    lings
    0.80
    anian
    0.80
    ling
    0.74
    Mind
    0.74
     Thro
    0.72
     Learning
    0.72
     vein
    0.71
    Activations Density 0.018%

    No Known Activations