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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. 6-RES-JB
    11. 23793
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    Explanations

    references to specific or unspecified individuals within a context or narrative

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals, particularly focusing on terms like "man," "guy," or "person"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Supplement
    -0.80
    FIN
    -0.71
    Decre
    -0.69
    tnc
    -0.69
    eed
    -0.67
    ourt
    -0.66
    è¡
    -0.66
     Pelicans
    -0.65
    Domin
    -0.64
    fml
    -0.64
    POSITIVE LOGITS
     responsible
    0.93
    uscript
    0.92
     who
    0.83
     overseeing
    0.77
     interviewed
    0.74
    acle
    0.73
     tasked
    0.70
    osphere
    0.70
     whom
    0.70
     WHO
    0.67
    Activations Density 0.154%

    No Known Activations