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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. 4-RES-JB
    11. 3702
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    Explanations

    technology-related terms or software names

    oai_token-act-pair · gpt-3.5-turbo

    references to the Epic browser and related terms

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

    No Comments

    Negative Logits
    creen
    -0.85
    ³³³³³³³³³³³³³³³³
    -0.74
    mosp
    -0.65
     Ùħ
    -0.65
    eering
    -0.64
    FORMATION
    -0.63
     Manson
    -0.63
    à©
    -0.62
    åĤ
    -0.61
    oci
    -0.61
    POSITIVE LOGITS
    urious
    1.04
    enter
    1.00
    Draft
    0.86
    ension
    0.78
    rous
    0.78
    urus
    0.77
    ensions
    0.76
    onso
    0.74
    Series
    0.73
    Pie
    0.73
    Activations Density 0.014%

    No Known Activations