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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. 17520
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    INDEX
    Explanations

    keywords or phrases related to normativity or common occurrences

    oai_token-act-pair · gpt-3.5-turbo

    expressions that indicate typical or expected behavior

    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
     Kut
    -0.84
     Ing
    -0.71
    ged
    -0.70
    gets
    -0.70
     Starship
    -0.67
     Agenda
    -0.67
    addons
    -0.64
     Shang
    -0.63
     Keys
    -0.62
     Ze
    -0.62
    POSITIVE LOGITS
    llular
    0.88
     behaved
    0.85
    entimes
    0.82
     encountered
    0.79
     behave
    0.78
     regenerate
    0.78
     compr
    0.77
     regarded
    0.75
     speaking
    0.75
     behaves
    0.75
    Activations Density 0.013%

    No Known Activations