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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. 1-RES-JB
    11. 20130
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    Explanations

    phrases related to planning or preparing in advance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "advance"

    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
    chi
    -0.74
    BuyableInstoreAndOnline
    -0.74
    obyl
    -0.71
    oran
    -0.70
    ched
    -0.67
    ellow
    -0.66
    mos
    -0.66
    ombo
    -0.64
    DOC
    -0.64
     corrid
    -0.64
    POSITIVE LOGITS
    vance
    0.96
     advance
    0.92
     Advance
    0.85
    cember
    0.77
    heit
    0.77
     advances
    0.73
     guiActiveUn
    0.73
     advancement
    0.70
    agents
    0.70
     promotion
    0.69
    Activations Density 0.009%

    No Known Activations