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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. 7-RES-JB
    11. 17956
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    Explanations

    phrases related to inefficiency or wastefulness

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to wasting time or resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Breaking
    -0.75
    iffe
    -0.62
    tain
    -0.62
    creator
    -0.60
     independently
    -0.60
     guaranteeing
    -0.58
     blurred
    -0.57
    cko
    -0.57
    held
    -0.57
     collapsed
    -0.57
    POSITIVE LOGITS
     resources
    0.96
     precious
    0.91
     wasted
    0.86
    eful
    0.84
    efully
    0.82
    fulness
    0.80
     valuable
    0.78
     calories
    0.78
    roman
    0.73
     Souls
    0.73
    Activations Density 0.070%

    No Known Activations