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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. 0-RES-JB
    11. 9698
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    Explanations

    people, things, or events that are considered outstanding or worthy of attention

    oai_token-act-pair · gpt-3.5-turbo

    mentions of significance or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Handling
    -0.63
    bos
    -0.62
    submit
    -0.60
     lied
    -0.59
     indo
    -0.59
    pressure
    -0.59
    dad
    -0.59
    leigh
    -0.59
    itiveness
    -0.58
    application
    -0.58
    POSITIVE LOGITS
     notable
    3.42
     noteworthy
    2.62
     noticeable
    1.79
     notably
    1.77
    Notable
    1.72
     prominent
    1.59
     significant
    1.47
     remarkable
    1.46
     conspicuous
    1.31
     noticeably
    1.31
    Activations Density 0.015%

    No Known Activations