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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. 8-RES-JB
    11. 8079
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    Explanations

    references to drag racing

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "drag" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.86
     Blueprint
    -0.78
    theless
    -0.73
     AVG
    -0.68
    etheless
    -0.67
    cium
    -0.67
     Kubrick
    -0.67
    VERTISEMENT
    -0.66
     Ramadan
    -0.66
    aples
    -0.65
    POSITIVE LOGITS
     queens
    1.02
    ged
    0.97
    ging
    0.92
    glers
    0.91
    net
    0.88
    oon
    0.87
    gery
    0.87
    strip
    0.84
    Plex
    0.82
    gy
    0.81
    Activations Density 0.034%

    No Known Activations