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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. 1-RES-JB
    6. 7613
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    Explanations

    French words or names

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter "e" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.88
    iets
    -0.77
     consolidation
    -0.76
    displayText
    -0.76
    channelAvailability
    -0.72
     sidx
    -0.68
    mallow
    -0.68
    anova
    -0.68
    DERR
    -0.67
     carbohyd
    -0.67
    POSITIVE LOGITS
    lements
    1.25
    ury
    0.98
    cosystem
    0.95
    gging
    0.93
    gypt
    0.92
    lev
    0.91
    agle
    0.90
    ghan
    0.90
    cker
    0.89
    eeee
    0.89
    Activations Density 0.027%

    No Known Activations