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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. 7249
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    INDEX
    Explanations

    terms related to decision-making

    oai_token-act-pair · gpt-3.5-turbo

    references to important decisions or choices made in various contexts

    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
    english
    -0.81
    vae
    -0.77
    eco
    -0.69
    ubric
    -0.67
    ingers
    -0.66
    amen
    -0.63
    sung
    -0.63
    izont
    -0.63
    ewitness
    -0.62
    atomic
    -0.62
    POSITIVE LOGITS
     makers
    0.97
     decision
    0.86
     maker
    0.84
     decisions
    0.83
     ACTIONS
    0.83
     stance
    0.74
    maker
    0.72
    ters
    0.69
     chose
    0.69
    jar
    0.69
    Activations Density 0.033%

    No Known Activations