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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. 1-RES-JB
    11. 519
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    Explanations

    words related to sources, origins, or locations

    oai_token-act-pair · gpt-3.5-turbo

    the word "from" appearing in various contexts within the text

    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
    ratulations
    -0.74
    mask
    -0.74
    leneck
    -0.71
    isphere
    -0.71
    faced
    -0.70
    rongh
    -0.70
    istar
    -0.67
    priority
    -0.64
    bably
    -0.64
    few
    -0.64
    POSITIVE LOGITS
     afar
    1.35
     whence
    1.16
     thence
    1.08
     abroad
    0.87
     scratch
    0.87
     elsewhere
    0.83
     anywhere
    0.80
     inside
    0.78
     everywhere
    0.75
     within
    0.75
    Activations Density 0.213%

    No Known Activations