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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. 9-RES-JB
    6. 6190
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    INDEX
    Explanations

    mentions of economic activities and positions like company roles and memberships in organizations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to performance and achievements in competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stead
    -0.71
     patience
    -0.65
    usterity
    -0.65
    rays
    -0.62
    ................................................................
    -0.62
    aeus
    -0.60
    /-
    -0.60
    abuse
    -0.59
     disorder
    -0.59
     divergence
    -0.59
    POSITIVE LOGITS
     UNESCO
    1.04
     nominations
    1.00
     Oscars
    0.98
     nomination
    0.98
     Nobel
    0.97
     prestigious
    0.96
     finalists
    0.95
     Featured
    0.93
     finals
    0.90
     TOP
    0.90
    Activations Density 1.155%

    No Known Activations