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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. 16368
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    INDEX
    Explanations

    words related to different types of impacts (scientific, political, economic), as well as conjunctions

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to socio-economic and political conditions

    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
    UFF
    -0.75
     Peaks
    -0.70
    Lost
    -0.68
     ado
    -0.68
    ©
    -0.67
    usha
    -0.67
    aults
    -0.66
     Birch
    -0.66
     Waves
    -0.65
     Lovely
    -0.65
    POSITIVE LOGITS
     spiritually
    1.58
     psychologically
    1.49
     culturally
    1.44
     economically
    1.39
     financially
    1.36
     socially
    1.35
     physically
    1.34
     intellectually
    1.33
     emotionally
    1.33
     mentally
    1.32
    Activations Density 0.089%

    No Known Activations