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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. 7-RES-JB
    11. 16717
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    Explanations

    references to specific computer processor models

    oai_token-act-pair · gpt-3.5-turbo

    references to Intel Core processors and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IGHTS
    -0.74
     sidel
    -0.72
    pez
    -0.70
    Ń·
    -0.69
    ufact
    -0.66
    ishable
    -0.66
    TN
    -0.65
    hops
    -0.63
    ights
    -0.63
    UGE
    -0.61
    POSITIVE LOGITS
    xit
    1.06
    opsis
    1.01
    lli
    0.85
    utils
    0.84
    holm
    0.82
    gart
    0.80
    core
    0.77
    ference
    0.77
    xia
    0.73
    lington
    0.72
    Activations Density 0.029%

    No Known Activations