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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

    proper names, specifically the name "Catherine"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Catherine" or similar variations of the name

    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
    eat
    -0.84
    profit
    -0.82
    req
    -0.79
    spring
    -0.75
    eyed
    -0.74
    unal
    -0.74
    appropri
    -0.72
    ingen
    -0.71
    oted
    -0.70
    ffic
    -0.70
    POSITIVE LOGITS
     Catherine
    0.94
    issance
    0.90
     Cort
    0.81
     Anne
    0.80
    Anne
    0.78
     Byrne
    0.76
     Hale
    0.76
     Bride
    0.76
     Chao
    0.76
    rette
    0.75
    Activations Density 0.009%

    No Known Activations