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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. 3-RES-JB
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    Explanations

    mentions of the word "Han" in various contexts, potentially related to a specific entity or location

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the name "Han" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.93
     destro
    -0.86
    terday
    -0.74
    ktop
    -0.74
    okemon
    -0.74
    ierrez
    -0.73
    atoon
    -0.72
     confir
    -0.71
    ongyang
    -0.70
    ODUCT
    -0.69
    POSITIVE LOGITS
    auer
    0.95
    Han
    0.92
    bang
    0.90
    wei
    0.88
     Solo
    0.87
    uman
    0.85
    wal
    0.85
    ifa
    0.85
    ning
    0.85
     Han
    0.85
    Activations Density 0.004%

    No Known Activations