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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 6730
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    INDEX
    Explanations

    phrases requesting actions or conveying politeness

    oai_token-act-pair · gpt-3.5-turbo

    requests for action or feedback

    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
    arc
    -0.77
    ARC
    -0.76
    advertisement
    -0.73
    ription
    -0.69
    senal
    -0.68
    existence
    -0.67
    ula
    -0.64
    phrine
    -0.63
    mund
    -0.61
    bang
    -0.60
    POSITIVE LOGITS
     sir
    0.92
     Ignore
    0.80
     fill
    0.78
     pardon
    0.77
     ignore
    0.76
     inquire
    0.74
     excuse
    0.74
     forgive
    0.73
     beware
    0.72
    ignore
    0.71
    Activations Density 0.013%

    No Known Activations