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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. 5535
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    INDEX
    Explanations

    opportunities or chances for something to happen

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate opportunities or chances

    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
    requires
    -0.75
     Needs
    -0.74
    soever
    -0.68
    wise
    -0.67
    keeping
    -0.67
    existent
    -0.63
    soDeliveryDate
    -0.63
    Requires
    -0.62
     Princ
    -0.62
     Falls
    -0.62
    POSITIVE LOGITS
     shine
    1.16
     showcase
    1.15
     explore
    1.14
     participate
    1.13
     prove
    1.12
     demonstrate
    1.11
     learn
    1.10
     capitalize
    1.10
     indulge
    1.10
     educate
    1.08
    Activations Density 0.096%

    No Known Activations