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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. 7-RES-JB
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    Explanations

    mentions of the word "Lab" followed by numbers (e.g., Lab 9)

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Lab" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.75
    lihood
    -0.67
     Ceres
    -0.67
     antiquity
    -0.64
     Resolution
    -0.63
     Marketable
    -0.63
     evils
    -0.61
     Sacrament
    -0.61
     brunt
    -0.59
     odds
    -0.59
    POSITIVE LOGITS
    yrinth
    1.52
    rador
    1.44
    elling
    1.32
    elled
    1.31
    orer
    1.24
    orers
    1.23
    rosse
    1.22
    eled
    1.16
    els
    1.06
    eling
    1.00
    Activations Density 0.014%

    No Known Activations