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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. 22965
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    Explanations

    phrases related to criticism or judgment

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and specific comma placements in the text

    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
    irection
    -0.71
    ns
    -0.66
    chard
    -0.65
    ishly
    -0.62
    iph
    -0.62
    WithNo
    -0.61
    ffen
    -0.61
    PC
    -0.61
    oya
    -0.61
    resses
    -0.60
    POSITIVE LOGITS
     respectively
    1.30
     etc
    1.00
     culminating
    0.85
     whichever
    0.80
     viz
    0.74
     please
    0.73
     thereby
    0.73
    etc
    0.72
     coupled
    0.70
     albeit
    0.68
    Activations Density 0.441%

    No Known Activations