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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. 19839
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    INDEX
    Explanations

    acknowledgment or understanding of a statement or situation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of understanding and acknowledgment in conversations

    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
    mage
    -0.73
    tain
    -0.66
    reet
    -0.66
    arantine
    -0.64
    irrel
    -0.64
     Ambro
    -0.63
    rake
    -0.62
     mosqu
    -0.61
    aunder
    -0.61
    quit
    -0.60
    POSITIVE LOGITS
     firsthand
    0.74
     plenty
    0.66
     anecd
    0.65
    soType
    0.64
     myself
    0.63
     saddened
    0.61
     Cosponsors
    0.60
    ortium
    0.58
     vividly
    0.58
     Clause
    0.57
    Activations Density 0.260%

    No Known Activations