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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. 4-RES-JB
    11. 16434
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    INDEX
    Explanations

    instances where the word "plan" is mentioned with a relatively high activation value

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "plan" indicating discussions or references to planning strategies or intentions

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

    No Comments

    Negative Logits
    leaning
    -0.69
    attering
    -0.67
     Flavoring
    -0.65
    ammy
    -0.64
    nces
    -0.63
    uala
    -0.63
    amped
    -0.62
    isha
    -0.62
    ranch
    -0.61
    shire
    -0.61
    POSITIVE LOGITS
    paren
    0.89
    escape
    0.89
    plan
    0.84
    isphere
    0.83
    acci
    0.77
    etary
    0.76
     beforehand
    0.74
    meal
    0.71
     Parenthood
    0.70
     obs
    0.69
    Activations Density 0.038%

    No Known Activations