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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. 11752
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    Explanations

    phrases related to making the most out of a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize making the most of a situation or experience

    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
    quickShipAvailable
    -0.83
     laun
    -0.72
    Poll
    -0.66
     ensu
    -0.65
    soType
    -0.64
     horizont
    -0.63
    earchers
    -0.61
    SPONSORED
    -0.61
     stoked
    -0.59
    confirmed
    -0.58
    POSITIVE LOGITS
     noises
    0.73
     noise
    0.70
     yourselves
    0.69
     fuss
    0.68
    ãĥĥãĤ¯
    0.65
     impression
    0.65
     headlines
    0.63
    VALUE
    0.63
     allowance
    0.62
    uable
    0.62
    Activations Density 0.124%

    No Known Activations