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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. 6-RES-JB
    6. 19088
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    INDEX
    Explanations

    references to the concept of "peak" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    discussions related to maximum levels or highs in various contexts

    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
    icate
    -0.73
    oured
    -0.72
    signed
    -0.71
     parted
    -0.70
    onsense
    -0.68
    ktop
    -0.67
     transpl
    -0.67
    zbollah
    -0.65
    cheat
    -0.65
    recated
    -0.65
    POSITIVE LOGITS
     erection
    0.75
     heights
    0.71
    imum
    0.71
    ceed
    0.69
    urb
    0.69
    lite
    0.68
     peaks
    0.68
     height
    0.68
    antha
    0.67
     occupancy
    0.66
    Activations Density 0.031%

    No Known Activations