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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. 11-RES-JB
    11. 1608
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    INDEX
    Explanations

    keywords related to advancements, developments, and criticisms of products or programs

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing reflection or critique on societal or technological advancements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rontal
    -0.74
    rieg
    -0.70
    cox
    -0.69
    hari
    -0.68
     ((
    -0.66
    ratulations
    -0.65
    OTUS
    -0.64
    velt
    -0.64
    uto
    -0.64
    raph
    -0.63
    POSITIVE LOGITS
     drawbacks
    1.23
     shortcomings
    1.14
     pitfalls
    1.11
     downside
    1.09
     hindered
    1.05
     limitations
    1.05
     disadvantages
    1.04
     disappoint
    1.02
     unfortunately
    1.02
     drawback
    1.01
    Activations Density 0.580%

    No Known Activations