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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. 2-RES-JB
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    Explanations

    the name "Norman."

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Norman."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Constructed
    -0.85
    tnc
    -0.84
    Fra
    -0.82
    iary
    -0.80
    HCR
    -0.77
    Redd
    -0.77
    topic
    -0.77
    requ
    -0.76
    76561
    -0.75
    externalActionCode
    -0.73
    POSITIVE LOGITS
     Norman
    1.09
    orman
    0.93
     Bates
    0.91
     Bram
    0.86
     Eisen
    0.85
     Orth
    0.85
     metic
    0.83
     Orn
    0.82
    oland
    0.81
    mares
    0.77
    Activations Density 0.005%

    No Known Activations