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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

    the word "Stein" with a strong activation value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Stein" and related mentions

    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
    phis
    -0.90
     Tycoon
    -0.88
     Thumbnails
    -0.75
     eleph
    -0.74
    icably
    -0.73
    Þ
    -0.71
     CLIENT
    -0.70
     NCT
    -0.67
    CRIP
    -0.67
     tremend
    -0.67
    POSITIVE LOGITS
     Stein
    1.08
    berg
    0.99
    beck
    0.95
    ring
    0.91
    rers
    0.88
    ners
    0.88
    feld
    0.86
    bach
    0.85
    thal
    0.85
    hardt
    0.85
    Activations Density 0.005%

    No Known Activations