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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. 19746
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    Explanations

    words related to heights or levels of something

    oai_token-act-pair · gpt-3.5-turbo

    references to highness or elevation

    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
    ISO
    -0.77
     Machina
    -0.73
     Bubble
    -0.73
    ahime
    -0.70
     champagne
    -0.70
     Osc
    -0.65
    nesia
    -0.64
     Gutenberg
    -0.62
    é¾įå
    -0.62
     Hades
    -0.61
    POSITIVE LOGITS
    ighed
    0.83
    bors
    0.81
    atures
    0.79
    entimes
    0.78
    igh
    0.77
    teen
    0.77
    lean
    0.76
    ress
    0.75
    bor
    0.75
    «
    0.74
    Activations Density 0.007%

    No Known Activations