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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 8-RES-JB
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    Explanations

    the word "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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sis
    -0.76
    utical
    -0.72
    ansky
    -0.69
    osi
    -0.67
    keley
    -0.67
     repr
    -0.67
    ECK
    -0.65
    zzle
    -0.64
    athing
    -0.63
    instein
    -0.63
    POSITIVE LOGITS
     souls
    0.97
     Souls
    0.91
     sight
    0.81
     innocence
    0.78
    lust
    0.78
    hearted
    0.78
    luster
    0.78
    erness
    0.77
     Tycoon
    0.75
    iscover
    0.72
    Activations Density 0.025%

    No Known Activations