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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. 6-RES-JB
    11. 518
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    Explanations

    emphatic expressions of surprise or exclamation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or exclamation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udeb
    -0.82
    BILITIES
    -0.76
    Ö¼
    -0.76
    actionDate
    -0.74
    20439
    -0.72
    Fed
    -0.72
    -+-+
    -0.71
    ilater
    -0.69
    arette
    -0.64
    isd
    -0.64
    POSITIVE LOGITS
     virginity
    0.62
    culus
    0.62
     heaven
    0.61
     dear
    0.61
     stagger
    0.59
     hurry
    0.59
     gasp
    0.57
     Wait
    0.57
     darling
    0.55
     shudder
    0.54
    Activations Density 0.037%

    No Known Activations