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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. 10-RES-JB
    11. 5256
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    INDEX
    Explanations

    names of individuals, particularly those with titles or roles

    oai_token-act-pair · gpt-3.5-turbo

    prominent individuals, likely related to political or academic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Skydragon
    -0.76
     Rebels
    -0.67
     hereafter
    -0.62
    EStream
    -0.60
     Bolshe
    -0.59
     Cerberus
    -0.58
     Archdemon
    -0.57
     Colleges
    -0.57
     multiplier
    -0.56
     divided
    -0.56
    POSITIVE LOGITS
    aryn
    1.16
    ileen
    1.09
    aryl
    1.06
    ureen
    1.04
    asha
    1.03
    icky
    1.03
    anya
    1.02
    eryl
    1.02
    lyss
    1.00
    annie
    1.00
    Activations Density 0.171%

    No Known Activations