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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. 6-RES-JB
    11. 14869
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    topics related to economic policies and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hap
    -0.60
    aughtered
    -0.57
    NBC
    -0.56
    nos
    -0.56
    VIDIA
    -0.55
    URA
    -0.54
    ived
    -0.54
    ja
    -0.53
    çĶ°
    -0.53
    atom
    -0.53
    POSITIVE LOGITS
     workforce
    0.66
     rul
    0.65
     nodd
    0.62
     shenan
    0.62
     disadvant
    0.60
     disadvantages
    0.59
     status
    0.58
     holdings
    0.58
     objectives
    0.58
     workload
    0.58
    Activations Density 0.976%

    No Known Activations