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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. 20501
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    Explanations

    proper nouns or names of entities that are launching something (e.g., campaigns, attacks, investigations)

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "launched."

    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
    ische
    -0.64
    uth
    -0.63
    nton
    -0.61
    ipped
    -0.60
    se
    -0.59
    etry
    -0.59
    ÃŃa
    -0.59
    iane
    -0.58
    andro
    -0.58
    cious
    -0.58
    POSITIVE LOGITS
    laun
    1.02
    wcs
    0.95
    launch
    0.94
    EStream
    0.90
     launching
    0.89
    Laun
    0.88
    pad
    0.86
    hement
    0.85
     Seym
    0.85
     launched
    0.84
    Activations Density 0.028%

    No Known Activations