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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. 10-RES-JB
    6. 24173
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    Explanations

    phrases indicating a transition or continuation in a speech or text

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a preface or introduction to content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cow
    -0.81
    knit
    -0.78
    rod
    -0.76
    pless
    -0.70
    scl
    -0.66
    pee
    -0.66
     Tens
    -0.65
    nian
    -0.65
    tek
    -0.65
    pak
    -0.65
    POSITIVE LOGITS
     doubt
    1.30
     ado
    1.29
     hesitation
    1.25
     provocation
    1.08
     exaggeration
    1.06
     explanation
    1.02
     delay
    1.00
     contradiction
    0.92
     qualification
    0.92
     irony
    0.90
    Activations Density 0.107%

    No Known Activations