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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. 11824
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    Explanations

    phrases indicating the need for identification or documentation

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to identification requirements and voting regulations

    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
    natureconservancy
    -0.84
    storms
    -0.82
    âĶĢâĶĢâĶĢâĶĢ
    -0.81
    ~~~~~~~~
    -0.75
     rebound
    -0.72
    frey
    -0.71
    ovie
    -0.71
    fell
    -0.68
    warm
    -0.68
    adj
    -0.68
    POSITIVE LOGITS
     passports
    1.87
     passport
    1.70
     IDs
    1.55
     fingerprint
    1.49
     identification
    1.47
     fingerprints
    1.42
     citizenship
    1.34
     Visa
    1.34
     authentication
    1.30
     ID
    1.28
    Activations Density 0.885%

    No Known Activations