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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. 21196
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    INDEX
    Explanations

    words related to loss or things being lost

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "lost" in various contexts

    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
    osi
    -0.80
    ansky
    -0.78
     barr
    -0.69
    ricks
    -0.68
    sis
    -0.68
    deen
    -0.64
    INC
    -0.64
    erity
    -0.63
     prepared
    -0.62
    ocr
    -0.62
    POSITIVE LOGITS
     souls
    0.93
     Souls
    0.93
    hearted
    0.80
    luster
    0.76
    lust
    0.75
     sight
    0.74
    erness
    0.74
     innocence
    0.70
     soul
    0.67
    itive
    0.67
    Activations Density 0.020%

    No Known Activations