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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. 23799
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    Explanations

    specific mentions of laws or legal frameworks

    oai_token-act-pair · gpt-3.5-turbo

    references to laws and legal terminology

    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
    emonic
    -0.66
     Flavoring
    -0.66
     Dak
    -0.65
     Scion
    -0.63
     Objective
    -0.63
     Tate
    -0.62
    vae
    -0.62
    aukee
    -0.61
     Mul
    -0.61
    xit
    -0.60
    POSITIVE LOGITS
     enforcement
    1.37
    suit
    1.08
    enforcement
    1.08
    lessness
    1.07
     Enforcement
    1.07
     abiding
    1.04
    suits
    1.04
    breaker
    1.00
    makers
    1.00
    breakers
    0.98
    Activations Density 0.045%

    No Known Activations