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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. 4-RES-JB
    11. 6740
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    Explanations

    phrases related to distilling processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to distillation and alcoholic beverages

    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
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    Negative Logits
    obin
    -0.72
     {\
    -0.65
    ulus
    -0.64
     awaken
    -0.64
     paralysis
    -0.63
     MacArthur
    -0.62
     Byrne
    -0.61
     bystanders
    -0.61
    clus
    -0.61
     Cortana
    -0.60
    POSITIVE LOGITS
     manufact
    0.86
    deal
    0.84
     manufactures
    0.82
    artifacts
    0.82
    eers
    0.81
     Manufact
    0.81
    cer
    0.79
    Manufact
    0.79
    atoes
    0.79
    DAQ
    0.78
    Activations Density 0.155%

    No Known Activations