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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. 3-RES-JB
    11. 4503
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    Explanations

    years or dates in the early 1900s

    oai_token-act-pair · gpt-3.5-turbo

    specific historical years, particularly in the early 20th century

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ularity
    -0.79
    egal
    -0.69
    ende
    -0.67
    iant
    -0.67
    affer
    -0.66
    anamo
    -0.66
    Resource
    -0.65
    RAM
    -0.65
    las
    -0.65
    nie
    -0.65
    POSITIVE LOGITS
     1906
    0.83
     1909
    0.83
     1905
    0.80
    £ı
    0.79
    ĸļ
    0.78
     1903
    0.77
     1908
    0.75
     1907
    0.73
    é¾įåĸļ士
    0.73
     1934
    0.73
    Activations Density 0.013%

    No Known Activations