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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. 8-RES-JB
    11. 7261
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to research methodology and experimental design

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cale
    -1.00
    tics
    -0.89
    arus
    -0.83
    printf
    -0.83
    ledge
    -0.83
    pite
    -0.80
    acus
    -0.79
    aurus
    -0.78
    idi
    -0.77
    ynthesis
    -0.76
    POSITIVE LOGITS
     edition
    0.81
     runner
    0.79
     batch
    0.78
     image
    0.76
     kit
    0.76
     dog
    0.75
     Worlds
    0.75
     code
    0.74
     party
    0.74
     chapters
    0.74
    Activations Density 0.352%

    No Known Activations