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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. 5-RES-JB
    6. 5960
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    INDEX
    Explanations

    comparisons of quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    adjectives indicating quantity or comparison

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     helicop
    -0.69
    farious
    -0.68
    akespe
    -0.66
    emale
    -0.65
    edIn
    -0.64
    èĢ
    -0.61
     Vaugh
    -0.60
    stood
    -0.60
    tein
    -0.60
    ilaterally
    -0.58
    POSITIVE LOGITS
     Sexy
    0.61
     Vulkan
    0.59
    actionDate
    0.57
     Expand
    0.56
     Psy
    0.55
     âĢº
    0.54
    ICE
    0.52
     Steam
    0.51
    photos
    0.51
    âĦ¢:
    0.51
    Activations Density 0.245%

    No Known Activations