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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. 17458
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    Explanations

    phrases related to weather events and natural disasters

    oai_token-act-pair · gpt-3.5-turbo

    references to natural disasters, specifically droughts

    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
    natureconservancy
    -0.83
    ULT
    -0.69
    ULTS
    -0.65
    iliary
    -0.63
    è¦ļéĨĴ
    -0.62
    arella
    -0.62
     Das
    -0.59
    alian
    -0.59
    Fle
    -0.58
    003
    -0.57
    POSITIVE LOGITS
    son
    0.96
    sts
    0.95
    thood
    0.91
    sie
    0.90
    rough
    0.89
    stall
    0.88
    sin
    0.85
    comes
    0.83
    ts
    0.83
    cliffe
    0.83
    Activations Density 0.022%

    No Known Activations