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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. 13259
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    Explanations

    time-related words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    conversational phrases and personal expressions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    indal
    -0.71
    handled
    -0.66
    士
    -0.65
    parts
    -0.62
    Downloadha
    -0.62
    ackle
    -0.62
    arette
    -0.61
    culosis
    -0.61
    quartered
    -0.61
    eeds
    -0.60
    POSITIVE LOGITS
     congr
    0.86
     apologies
    0.68
     irony
    0.67
     cynicism
    0.66
    )'
    0.64
     paraph
    0.63
    ERY
    0.62
     understatement
    0.61
     lied
    0.61
     anecd
    0.60
    Activations Density 0.560%

    No Known Activations