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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. 24088
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    INDEX
    Explanations

    references to numerical rankings or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of the article "the" and related content

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    atures
    -0.91
    hops
    -0.78
    esters
    -0.76
    these
    -0.75
    oots
    -0.73
    ulates
    -0.72
    rates
    -0.70
    SPONSORED
    -0.69
    craft
    -0.69
    ular
    -0.69
    POSITIVE LOGITS
     inability
    1.30
     possibility
    1.30
     notion
    1.26
     fact
    1.25
     tendency
    1.21
     emergence
    1.21
     absence
    1.20
     idea
    1.19
     ability
    1.19
     willingness
    1.16
    Activations Density 0.273%

    No Known Activations