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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of people's names

    oai_token-act-pair · gpt-3.5-turbo

    the name "Marie" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cept
    -0.67
     WARRANT
    -0.67
    essim
    -0.63
     stabil
    -0.61
    itol
    -0.61
     peanuts
    -0.60
     stead
    -0.60
     upro
    -0.60
     intercept
    -0.60
     apprehens
    -0.60
    POSITIVE LOGITS
     Marie
    3.84
    Marie
    3.51
    Anne
    1.65
     Louise
    1.54
     Margaret
    1.49
     Anne
    1.42
     Catherine
    1.38
     Valerie
    1.35
     Pierre
    1.35
    Maria
    1.34
    Activations Density 0.016%

    No Known Activations