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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 17925
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    INDEX
    Explanations

    instances of events or conditions that happened

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of cases or incidents

    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
    sonian
    -0.77
    aye
    -0.72
    asus
    -0.70
    externalActionCode
    -0.65
    isse
    -0.65
    issance
    -0.64
    phia
    -0.63
    lasses
    -0.62
    vation
    -0.61
    bern
    -0.60
    POSITIVE LOGITS
     involving
    1.23
     where
    0.92
     cases
    0.88
     wherein
    0.87
    hots
    0.87
     whereby
    0.84
     documented
    0.83
     arising
    0.82
     of
    0.81
     occurring
    0.81
    Activations Density 0.097%

    No Known Activations