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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. 2-RES-JB
    11. 11917
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    Explanations

    words related to geographical locations, particularly mountains

    oai_token-act-pair · gpt-3.5-turbo

    references to mountainous locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xx
    -0.73
    âĸĪâĸĪ
    -0.71
    razil
    -0.69
    ļéĨĴ
    -0.68
    period
    -0.68
    chnology
    -0.68
    mobi
    -0.64
    xxx
    -0.63
    Ë
    -0.62
     briefs
    -0.61
    POSITIVE LOGITS
     Mount
    1.02
    mount
    1.01
    Mount
    0.93
     Sinai
    0.92
    castle
    0.89
    itions
    0.83
     Everest
    0.81
    erton
    0.77
     Island
    0.76
    aint
    0.76
    Activations Density 0.007%

    No Known Activations