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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. 0-RES-JB
    6. 24128
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    INDEX
    Explanations

    occurrences of the word "max" or phrases related to maximum values

    oai_token-act-pair · gpt-3.5-turbo

    references to maximum values or limits in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    borne
    -0.75
    sembly
    -0.71
    gered
    -0.69
     Seeds
    -0.69
     Forth
    -0.68
    ilitary
    -0.66
    actionDate
    -0.65
    mingham
    -0.65
     Straw
    -0.64
     Newspaper
    -0.63
    POSITIVE LOGITS
     max
    3.49
    max
    3.32
    Max
    2.30
    MAX
    1.98
     Max
    1.96
     MAX
    1.96
     maximum
    1.92
    maximum
    1.73
     maxim
    1.68
     Maximum
    1.59
    Activations Density 0.016%

    No Known Activations