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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. 3-RES-JB
    11. 5445
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    Explanations

    adverbs indicating only or simply

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "merely" indicating a dismissive or trivializing tone

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.69
     Patriarch
    -0.67
    vals
    -0.67
     elders
    -0.66
     Nurs
    -0.66
     Diablo
    -0.63
     Mushroom
    -0.62
     holiest
    -0.62
     Fault
    -0.61
    illas
    -0.60
    POSITIVE LOGITS
    ifiable
    0.87
    IFIED
    0.80
     guiActiveUn
    0.80
    reet
    0.76
    iciary
    0.75
    rical
    0.75
    initions
    0.75
    ctions
    0.74
    ices
    0.72
    ogn
    0.72
    Activations Density 0.003%

    No Known Activations