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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 749
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    INDEX
    Explanations

    words related to decision-making and making choices

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to decision-making

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bing
    -0.68
    anti
    -0.67
    vae
    -0.65
    awar
    -0.65
    Tur
    -0.63
    bid
    -0.62
    iday
    -0.62
    izont
    -0.61
    plane
    -0.61
    amina
    -0.61
    POSITIVE LOGITS
     decisions
    1.08
     makers
    0.81
     choices
    0.79
     maker
    0.77
     decision
    0.74
     regarding
    0.73
     affecting
    0.72
     concerning
    0.71
     wisely
    0.71
     involving
    0.69
    Activations Density 0.044%

    No Known Activations