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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. 9-RES-JB
    11. 19469
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    Explanations

    phrases related to specific needs or requirements

    oai_token-act-pair · gpt-3.5-turbo

    references to specific requirements or necessities of various groups or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.75
     Bom
    -0.70
    pret
    -0.66
    âĸ¬
    -0.66
    bowl
    -0.62
    ama
    -0.62
    ourning
    -0.61
     rook
    -0.60
    arnaev
    -0.60
    amaz
    -0.59
    POSITIVE LOGITS
    lessly
    0.91
    igslist
    0.80
    cale
    0.80
     fulfilled
    0.70
     dictate
    0.68
    ocene
    0.66
    giving
    0.66
     constrained
    0.66
    ocial
    0.65
     domestically
    0.65
    Activations Density 0.038%

    No Known Activations