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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. 23743
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    Explanations

    keywords related to detection and identifying anomalies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to detecting or identifying various conditions or phenomena

    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
    mort
    -0.82
    emate
    -0.75
    perty
    -0.74
    creation
    -0.73
    asin
    -0.70
    ammy
    -0.69
    adra
    -0.66
    nesia
    -0.66
    yss
    -0.65
     aven
    -0.65
    POSITIVE LOGITS
    ively
    0.84
     detect
    0.78
     flaws
    0.77
    ibles
    0.76
    ible
    0.74
    wana
    0.74
     faults
    0.72
    ministic
    0.71
     detects
    0.71
     detection
    0.70
    Activations Density 0.021%

    No Known Activations