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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
    11. 8333
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    Explanations

    specific names or terms, particularly the name "Hein" at varying levels of importance

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions or references to a specific individual, likely related to their significance in a context

    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
     Thumbnails
    -0.82
    yip
    -0.80
    tumblr
    -0.78
    âĶģ
    -0.74
    skirts
    -0.67
    apped
    -0.66
    orsi
    -0.65
    isions
    -0.65
    oppable
    -0.62
     CoC
    -0.62
    POSITIVE LOGITS
     Hein
    1.21
    lein
    1.10
    rich
    0.88
    selage
    0.85
    hardt
    0.82
     Verb
    0.79
    zzy
    0.77
    zman
    0.76
     Meier
    0.75
    rette
    0.73
    Activations Density 0.009%

    No Known Activations