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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. 4-RES-JB
    11. 20770
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    Explanations

    verbs indicating a requirement or obligation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating obligations or requirements

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

    No Comments

    Negative Logits
     Laden
    -0.76
     Trop
    -0.69
     Hamb
    -0.65
    trop
    -0.65
     Hamp
    -0.63
    vironment
    -0.63
    gdala
    -0.63
    vertisements
    -0.62
     Junk
    -0.61
     Marlins
    -0.61
    POSITIVE LOGITS
     obey
    1.00
     abide
    0.94
     comply
    0.92
     be
    0.91
     reproduce
    0.89
     surely
    0.85
     preferably
    0.83
     attest
    0.83
     therefore
    0.83
     ensure
    0.81
    Activations Density 0.029%

    No Known Activations