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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. 3522
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    Explanations

    personal pronouns followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    references to the second person 'you' in various contexts

    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
    entimes
    -0.79
    ĸļ
    -0.78
    unic
    -0.76
    emon
    -0.76
    ĨĴ
    -0.73
    arc
    -0.71
    ulo
    -0.71
    ¥µ
    -0.70
    docker
    -0.69
    eca
    -0.68
    POSITIVE LOGITS
     guys
    1.46
     yourselves
    1.38
     gentlemen
    1.07
    're
    1.03
     sir
    1.00
     yourself
    0.90
    tub
    0.90
     boys
    0.86
     majesty
    0.85
     ladies
    0.82
    Activations Density 0.195%

    No Known Activations