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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. 5-RES-JB
    6. 20094
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    INDEX
    Explanations

    mentions of heavy snowfall

    oai_token-act-pair · gpt-3.5-turbo

    references to snowfall or snow-related conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ENTION
    -0.82
    aird
    -0.74
    igious
    -0.73
    aughs
    -0.73
    ISTER
    -0.71
     plur
    -0.71
    axter
    -0.70
    ister
    -0.69
    ysis
    -0.67
    izabeth
    -0.66
    POSITIVE LOGITS
    flake
    1.57
    fall
    1.00
    storms
    0.99
     Leopard
    0.98
    boarding
    0.96
    tro
    0.93
    storm
    0.93
    mobile
    0.89
    balls
    0.85
    bank
    0.85
    Activations Density 0.014%

    No Known Activations