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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. 19465
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    Explanations

    mentions of marriage or being married

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "married" and related phrases

    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
    abwe
    -0.81
     Flavoring
    -0.79
    acco
    -0.78
    urg
    -0.73
    umbn
    -0.72
    ombies
    -0.69
    ostic
    -0.69
    anwhile
    -0.66
    arium
    -0.66
    efer
    -0.66
    POSITIVE LOGITS
    nesday
    1.01
     couples
    0.92
     married
    0.80
     bachelor
    0.79
     equality
    0.78
    equality
    0.77
    ton
    0.76
     marry
    0.74
    women
    0.73
    tons
    0.71
    Activations Density 0.011%

    No Known Activations