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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. 1-RES-JB
    11. 5087
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    Explanations

    specific references to abstract or physical dimensions

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "dimension" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ublic
    -0.70
    ILLE
    -0.66
    bery
    -0.65
    ony
    -0.65
    Mary
    -0.64
    aque
    -0.63
     Sunny
    -0.63
    SY
    -0.61
    ña
    -0.61
     Cou
    -0.61
    POSITIVE LOGITS
    dimension
    1.31
     dimension
    1.31
     dimensions
    1.29
     Dimensions
    1.06
     Dimension
    1.06
    imensional
    1.01
     dimensional
    0.97
    MpServer
    0.94
    ĸļ
    0.93
    ikuman
    0.90
    Activations Density 0.008%

    No Known Activations