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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. 4689
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    Explanations

    phrases related to planning, strategizing, and scheming activities

    oai_token-act-pair · gpt-3.5-turbo

    activities related to planning and strategizing

    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
    esp
    -0.75
    bearing
    -0.67
    mentioned
    -0.67
    down
    -0.65
    zone
    -0.65
    full
    -0.64
    bite
    -0.63
    ention
    -0.62
     announcement
    -0.62
     guarantee
    -0.62
    POSITIVE LOGITS
    urally
    0.84
    GGGGGGGG
    0.78
     Parenthood
    0.75
     anew
    0.72
    ãĥ¥
    0.71
     furiously
    0.70
    yss
    0.69
    \\\\\\\\
    0.69
    uments
    0.68
    herty
    0.68
    Activations Density 0.058%

    No Known Activations