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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. 9-RES-JB
    11. 24035
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    Explanations

    dialogue lines with emotional expressions

    oai_token-act-pair · gpt-3.5-turbo

    instances of speech or dialogue within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     themed
    -0.66
     sparse
    -0.65
     alternating
    -0.63
     culmin
    -0.62
     clustered
    -0.59
     quirks
    -0.59
     setups
    -0.58
     pairing
    -0.58
     featured
    -0.58
     compressed
    -0.57
    POSITIVE LOGITS
     sir
    1.02
    »
    0.94
     âĢ
    0.94
     âĢ¦"
    0.92
    `
    0.90
    ''
    0.89
     ..."
    0.88
     Allah
    0.86
    ,''
    0.84
    God
    0.84
    Activations Density 0.629%

    No Known Activations