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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. 7-RES-JB
    11. 2010
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    oai_token-act-pair · gpt-3.5-turbo

    CSS style properties and values

    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
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    ewitness
    -0.92
    issance
    -0.85
    lyak
    -0.84
    ingers
    -0.83
    gaard
    -0.80
     Ago
    -0.79
    gow
    -0.74
    uries
    -0.73
    hner
    -0.73
    ounty
    -0.72
    POSITIVE LOGITS
    "></
    1.21
    padding
    1.08
    ">
    1.06
    width
    1.06
    }}
    1.02
    "><
    1.01
     padding
    1.01
     scrolling
    0.95
    offset
    0.93
    \">
    0.93
    Activations Density 0.081%

    No Known Activations