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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. 0-RES-JB
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    Explanations

    mentions of various types of concerns or worries

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "concerns" or related expressions about worries and issues

    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
     Bus
    -0.67
    ln
    -0.67
    die
    -0.66
    secut
    -0.65
    oup
    -0.64
    itude
    -0.62
     CrossRef
    -0.62
    onz
    -0.61
     executed
    -0.61
     lucky
    -0.61
    POSITIVE LOGITS
     concerns
    3.65
     worries
    2.42
     fears
    2.32
     concern
    2.28
     Concern
    2.05
     objections
    1.90
     suspicions
    1.82
     grievances
    1.80
     complaints
    1.78
     doubts
    1.78
    Activations Density 0.021%

    No Known Activations