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    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. 2627
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    Explanations

    names, specifically the name "Julia" with a high activation value of 9 or 10

    oai_token-act-pair · gpt-3.5-turbo

    the mention of specific names, particularly variations of the name "Julia" and "Julie."

    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
    holders
    -0.84
    holder
    -0.81
    ngth
    -0.80
    fare
    -0.71
    roleum
    -0.70
    ribute
    -0.70
    enei
    -0.70
    rollers
    -0.70
    dash
    -0.70
    creen
    -0.69
    POSITIVE LOGITS
    udeau
    0.79
    Ç
    0.78
    IRO
    0.76
    alan
    0.75
     Hacker
    0.75
    iets
    0.71
    inx
    0.71
     Augusta
    0.71
    vm
    0.70
     Julia
    0.70
    Activations Density 0.014%

    No Known Activations