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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 20180
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    INDEX
    Explanations

    phrases containing the word "exaggerate" or variations thereof

    oai_token-act-pair · gpt-3.5-turbo

    language related to exaggeration and embellishment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    spot
    -0.83
    NetMessage
    -0.73
    aining
    -0.69
    battle
    -0.68
    cert
    -0.65
    washer
    -0.64
    sector
    -0.63
    IU
    -0.63
    avis
    -0.63
    Bio
    -0.62
    POSITIVE LOGITS
     exagger
    1.30
     exaggeration
    1.16
     exaggerated
    0.98
     overest
    0.87
    200000
    0.80
     distortions
    0.79
    ously
    0.79
     inflated
    0.77
     amounts
    0.77
     modesty
    0.76
    Activations Density 0.019%

    No Known Activations