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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    obscure or hidden information

    oai_token-act-pair · gpt-3.5-turbo

    the word "obscure" and its variations, indicating a focus on hidden or less known concepts

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

    No Comments

    Negative Logits
    Demand
    -0.87
    ogh
    -0.68
    iphate
    -0.68
    phasis
    -0.66
    NG
    -0.66
    avers
    -0.65
    uana
    -0.65
    agree
    -0.65
    MIC
    -0.65
    HOME
    -0.65
    POSITIVE LOGITS
     obscure
    0.98
    uously
    0.80
    ly
    0.76
    ulously
    0.72
     bystand
    0.71
    nesses
    0.70
    ively
    0.70
    worldly
    0.69
     pockets
    0.69
     footnote
    0.68
    Activations Density 0.009%

    No Known Activations