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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 8314
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    INDEX
    Explanations

    years or dates expressed in numeric format

    oai_token-act-pair · gpt-3.5-turbo

    specific years mentioned in the text

    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
    ularity
    -0.86
    paralle
    -0.70
    egal
    -0.66
    onge
    -0.66
    imon
    -0.64
    iaries
    -0.64
    anamo
    -0.64
    ndra
    -0.63
    RAM
    -0.62
    lace
    -0.62
    POSITIVE LOGITS
     1863
    0.72
     Augustus
    0.68
    âĢķ
    0.67
     census
    0.65
     onwards
    0.65
     1909
    0.65
     1903
    0.64
     1914
    0.64
     1916
    0.64
     1908
    0.63
    Activations Density 0.036%

    No Known Activations