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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
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    Explanations

    proper nouns related to mountains

    oai_token-act-pair · gpt-3.5-turbo

    mentions of mountains

    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
    period
    -0.75
    razil
    -0.73
    xx
    -0.67
    early
    -0.66
    rx
    -0.66
    ��
    -0.65
    release
    -0.65
    hr
    -0.63
    Ë
    -0.62
    âĸĪâĸĪ
    -0.62
    POSITIVE LOGITS
     Mount
    1.13
    Mount
    1.04
    mount
    1.03
     Sinai
    0.99
     Everest
    0.91
    castle
    0.82
    erton
    0.76
     Island
    0.76
     mount
    0.75
    itions
    0.74
    Activations Density 0.006%

    No Known Activations