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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. 7-RES-JB
    11. 3987
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    Explanations

    references to celestial bodies or celestial phenomena

    oai_token-act-pair · gpt-3.5-turbo

    references to physical locations and environmental elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERAL
    -0.70
    \\\\\\\\
    -0.69
    ALLY
    -0.69
    asus
    -0.69
    DCS
    -0.66
    ANN
    -0.64
    CHAR
    -0.62
    thumbnails
    -0.60
    oni
    -0.60
    rie
    -0.58
    POSITIVE LOGITS
    creen
    1.33
    cape
    1.25
    pring
    1.24
    mith
    1.16
    heet
    1.11
    chool
    1.11
    cale
    1.07
    pace
    1.06
    ystem
    1.06
    hift
    1.04
    Activations Density 0.337%

    No Known Activations