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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. 7-RES-JB
    6. 4202
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    Explanations

    special characters indicating a specific type of formatting or encoding in text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character "Ŀ"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     shape
    -0.79
     warr
    -0.79
     ende
    -0.77
     undecided
    -0.76
     likeness
    -0.75
     imagination
    -0.73
     unconscious
    -0.73
     resemblance
    -0.72
     unborn
    -0.71
     barg
    -0.70
    POSITIVE LOGITS
    ï¸ı
    1.09
    ï¸
    1.00
    Additionally
    0.91
    However
    0.90
     Similarly
    0.88
     Additionally
    0.87
    ttp
    0.87
    cue
    0.86
    Unless
    0.84
    ¯
    0.84
    Activations Density 0.184%

    No Known Activations