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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. 6-RES-JB
    6. 13990
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    INDEX
    Explanations

    phrases indicating a strong desire or need for something

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing desire or longing for something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minus
    -0.69
    arson
    -0.65
    éĸ
    -0.64
    grad
    -0.63
    rm
    -0.61
     ALEC
    -0.61
     Kislyak
    -0.60
     annot
    -0.60
    Phase
    -0.60
    aroo
    -0.60
    POSITIVE LOGITS
     forgiveness
    0.91
     revenge
    0.88
     vengeance
    0.82
     patience
    0.82
     scraps
    0.82
     attention
    0.79
     refuge
    0.76
     sweets
    0.74
     novelty
    0.74
     riches
    0.74
    Activations Density 0.207%

    No Known Activations