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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. 23199
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    INDEX
    Explanations

    phrases that connect or link ideas, often represented by the word "and"

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" 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
    asper
    -0.72
    bugs
    -0.71
    acs
    -0.70
    FACE
    -0.67
    "],
    -0.66
    emi
    -0.65
    aven
    -0.65
    asar
    -0.65
    MRI
    -0.64
    graded
    -0.63
    POSITIVE LOGITS
     therefore
    1.03
     preferably
    1.00
     consequently
    1.00
     furthermore
    0.97
     moreover
    0.93
     indeed
    0.91
     possibly
    0.89
     hopefully
    0.87
     thence
    0.87
     perhaps
    0.85
    Activations Density 0.264%

    No Known Activations