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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. 9270
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    prominent names and entities involved in notable events

    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
     thereof
    -0.76
    .</
    -0.75
    }.
    -0.71
    .).
    -0.71
     ..."
    -0.70
    ".[
    -0.70
    $.
    -0.69
    ]."
    -0.68
     etc
    -0.67
    )."
    -0.66
    POSITIVE LOGITS
     meanwhile
    0.86
    ccording
    0.63
     spokesman
    0.61
     spokeswoman
    0.60
     Lavrov
    0.60
    odore
    0.59
    resa
    0.58
    surprisingly
    0.57
    ':
    0.56
     Lauder
    0.55
    Activations Density 2.794%

    No Known Activations