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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. 3464
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    Explanations

    terms related to the Chromecast device

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Chromecast" and "Chromium" technologies

    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
     Nurs
    -0.69
    ulton
    -0.69
    ERS
    -0.64
     productivity
    -0.60
     Lisbon
    -0.60
     caution
    -0.59
     lockout
    -0.58
     promise
    -0.58
    KA
    -0.57
    mitting
    -0.57
    POSITIVE LOGITS
    ecast
    1.22
    inance
    1.00
    schild
    0.93
    atis
    0.91
    atics
    0.90
    atin
    0.90
    odynamics
    0.89
    ium
    0.89
    atically
    0.87
    atography
    0.86
    Activations Density 0.066%

    No Known Activations