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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. 6868
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    Explanations

    descriptions of actions with emotional context

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and text transitions indicating emotional context or narrative flow

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Carson
    -0.92
    espie
    -0.92
     helicop
    -0.87
     bolted
    -0.87
     loaf
    -0.86
     Webb
    -0.86
     ranc
    -0.80
    Colorado
    -0.80
     Rudd
    -0.80
     JFK
    -0.79
    POSITIVE LOGITS
     manga
    1.46
     anime
    1.41
     ãĢĮ
    1.38
     Anime
    1.38
     Yamato
    1.37
    ãĢİ
    1.35
    ãĢIJ
    1.35
     æ
    1.34
     ¥
    1.30
    âĺĨ
    1.30
    Activations Density 0.791%

    No Known Activations