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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 740
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    Explanations

    phrases related to unexpected occurrences or issues that arise

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "popping up."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reat
    -0.68
    aving
    -0.68
    ft
    -0.67
    anus
    -0.65
    WA
    -0.65
    uckland
    -0.62
    aped
    -0.61
    iles
    -0.61
    gow
    -0.60
    reet
    -0.60
    POSITIVE LOGITS
     smoothly
    0.73
    âĶĢ
    0.72
    river
    0.68
    burst
    0.68
     nicely
    0.68
    IER
    0.67
     GOODMAN
    0.66
     uneven
    0.66
    EVA
    0.65
    Ñĭ
    0.65
    Activations Density 0.130%

    No Known Activations