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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. 1693
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    Explanations

    phrases related to widespread issues or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "widespread" and related phrases indicating widespread phenomena or trends

    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
    estamp
    -0.83
    thur
    -0.76
    izons
    -0.75
    rament
    -0.74
    ÄŁ
    -0.74
    bones
    -0.74
    =-=-
    -0.73
    wives
    -0.73
    men
    -0.73
    ttle
    -0.68
    POSITIVE LOGITS
     adoption
    0.87
    wealth
    0.87
     misconception
    0.86
     dissemination
    0.83
     worldwide
    0.81
     widespread
    0.80
     occurrence
    0.80
     condemnation
    0.78
    ãĥ¥
    0.74
     acceptance
    0.74
    Activations Density 0.036%

    No Known Activations