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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to the "21st century."

    oai_token-act-pair · gpt-3.5-turbo

    references to the 21st century

    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
    ensional
    -0.89
    qqa
    -0.75
    chio
    -0.75
    plom
    -0.74
    akespe
    -0.72
    kered
    -0.71
    akable
    -0.70
    outed
    -0.70
    UFF
    -0.69
    aped
    -0.68
    POSITIVE LOGITS
    st
    0.94
    00
    0.85
    50
    0.84
    istries
    0.76
    isma
    0.75
    ists
    0.75
    30
    0.74
    hole
    0.73
    holes
    0.72
    onsense
    0.71
    Activations Density 0.026%

    No Known Activations