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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. 3-RES-JB
    6. 14968
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    INDEX
    Explanations

    numerical data presented with a comparison or distinction

    oai_token-act-pair · gpt-3.5-turbo

    the word "respectively" and its variations, indicating comparisons or correspondences between items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bern
    -0.78
    ger
    -0.75
    rak
    -0.74
    iens
    -0.72
    bor
    -0.70
     Cosponsors
    -0.68
     Defenders
    -0.68
    gravity
    -0.67
    lo
    -0.66
    wordpress
    -0.65
    POSITIVE LOGITS
     guiActiveUn
    1.03
     exha
    0.84
     eleph
    0.82
     sexes
    0.79
     weep
    0.79
     detach
    0.78
     redund
    0.73
     situated
    0.73
     unus
    0.73
     halves
    0.72
    Activations Density 0.005%

    No Known Activations