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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. 10132
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    Explanations

    detailed and in-depth information or analysis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to comprehensive or thorough investigations

    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
    enos
    -0.69
    soDeliveryDate
    -0.68
    corn
    -0.66
     lucky
    -0.66
    artifacts
    -0.65
    akis
    -0.64
    hops
    -0.64
    aden
    -0.63
    quickShipAvailable
    -0.63
    ammers
    -0.63
    POSITIVE LOGITS
    bred
    1.12
     examination
    1.09
     overview
    1.01
     analysis
    1.00
     description
    0.98
     descriptions
    0.95
     explanation
    0.95
     breakdown
    0.92
     rundown
    0.91
     investigation
    0.90
    Activations Density 0.085%

    No Known Activations