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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. 18000
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    Explanations

    adjectives that describe challenging or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    words related to difficult or challenging situations

    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
     Equality
    -0.74
    aurus
    -0.68
     Bonds
    -0.65
     ethics
    -0.63
    ONEY
    -0.63
    yles
    -0.62
    OPLE
    -0.62
     RI
    -0.61
     waivers
    -0.61
     Annotations
    -0.60
    POSITIVE LOGITS
    uous
    1.27
    ingly
    1.18
    ously
    1.11
    ious
    1.09
    ous
    1.04
    ctory
    1.03
    amental
    1.02
    eful
    1.01
    liest
    0.99
    uously
    0.98
    Activations Density 0.173%

    No Known Activations