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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. 10-RES-JB
    6. 13239
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    INDEX
    Explanations

    phrases related to cost or price

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onis
    -0.74
    eur
    -0.72
    apters
    -0.68
     transcripts
    -0.67
    ORTS
    -0.65
     Invaders
    -0.65
    ihu
    -0.64
     Aires
    -0.63
    resa
    -0.62
    osion
    -0.62
    POSITIVE LOGITS
     glance
    1.22
     distance
    0.98
     rate
    0.95
     disadvantage
    0.93
     time
    0.91
     snail
    0.83
     moment
    0.81
     concess
    0.81
     pace
    0.81
     cost
    0.81
    Activations Density 0.051%

    No Known Activations