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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. 13394
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    Explanations

    sentences related to personal reflection and self-awareness

    oai_token-act-pair · gpt-3.5-turbo

    references to emotional states and personal struggles

    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
     dubbed
    -0.89
     eleph
    -0.84
     undisclosed
    -0.83
     contested
    -0.79
     disputed
    -0.79
     intended
    -0.79
     bid
    -0.79
     rumored
    -0.79
     undet
    -0.78
     quir
    -0.77
    POSITIVE LOGITS
    Anyway
    1.82
    My
    1.59
    Because
    1.59
    I
    1.59
    Advertisement
    1.59
    Advertisements
    1.57
    Instead
    1.56
    Being
    1.54
    Sometimes
    1.53
    When
    1.52
    Activations Density 0.374%

    No Known Activations