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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. 8-RES-JB
    6. 2618
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    INDEX
    Explanations

    phrases related to interaction and communication between people, especially expressing opinions or reactions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of public outrage or social media reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.78
     presided
    -0.74
    thood
    -0.71
     overseen
    -0.67
    izontal
    -0.66
    è¦ļéĨĴ
    -0.65
    ainment
    -0.63
    acl
    -0.61
    partial
    -0.61
    Complete
    -0.60
    POSITIVE LOGITS
     clam
    0.92
     themselves
    0.86
     louder
    0.85
     boycot
    0.75
     vitri
    0.72
     their
    0.71
     overwhelmingly
    0.70
    their
    0.69
     boycott
    0.67
     uproar
    0.67
    Activations Density 0.446%

    No Known Activations