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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. 5-RES-JB
    6. 23097
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    INDEX
    Explanations

    words related to statements or declarations made by public figures

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "said" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tag
    -0.75
     ILCS
    -0.72
    otion
    -0.69
    CLA
    -0.68
    =~=~
    -0.68
    Issue
    -0.67
    à¦
    -0.67
    thia
    -0.66
    email
    -0.66
    Lens
    -0.63
    POSITIVE LOGITS
     bluntly
    0.95
     goodbye
    0.87
     unequivocally
    0.85
     sarcast
    0.81
     emphatically
    0.81
    doms
    0.79
     repeatedly
    0.76
     passionately
    0.74
     aloud
    0.74
     afterward
    0.70
    Activations Density 0.252%

    No Known Activations