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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. 1-RES-JB
    6. 18274
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    INDEX
    Explanations

    phrases related to initiating or beginning something

    oai_token-act-pair · gpt-3.5-turbo

    references to athletes or performers in a starting position

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asca
    -0.74
    yss
    -0.70
    erry
    -0.70
    orate
    -0.68
    oÄŁ
    -0.68
    fax
    -0.67
    iq
    -0.65
    erm
    -0.65
    umb
    -0.65
     controlled
    -0.64
    POSITIVE LOGITS
     starters
    1.09
    starter
    0.87
    starting
    0.86
     starter
    0.85
     pitchers
    0.81
     thereof
    0.80
    éļ
    0.75
     Clicker
    0.73
    vation
    0.72
     isEnabled
    0.70
    Activations Density 0.002%

    No Known Activations