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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. 6-RES-JB
    6. 6853
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    Explanations

    phrases related to instructions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    imperative statements or phrases that direct actions

    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
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    Negative Logits
    oday
    -0.64
    pires
    -0.63
    burgh
    -0.63
    alf
    -0.62
    hum
    -0.61
     Drum
    -0.60
     Ips
    -0.60
    Pi
    -0.60
     Investor
    -0.60
     Gord
    -0.60
    POSITIVE LOGITS
     manually
    0.80
     understand
    0.79
     beware
    0.79
     kidding
    0.79
     rely
    0.77
     learn
    0.76
    itness
    0.76
     yourself
    0.74
     know
    0.74
     specify
    0.73
    Activations Density 0.129%

    No Known Activations