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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    the word "Mobile"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Mobile"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thur
    -0.74
    ø
    -0.73
     Danish
    -0.69
    ches
    -0.69
    rings
    -0.67
    é¾
    -0.67
    rs
    -0.65
    inally
    -0.65
    lins
    -0.65
    udic
    -0.64
    POSITIVE LOGITS
     Mobile
    3.87
    Mobile
    2.63
     mobile
    2.10
    mobile
    2.05
     Wireless
    1.45
     Mobility
    1.42
     Cellular
    1.40
     Portable
    1.33
     Telecom
    1.32
     Phone
    1.31
    Activations Density 0.018%

    No Known Activations