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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. 11-RES-JB
    11. 1249
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    INDEX
    Explanations

    financial and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistical comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ²¾
    -0.93
    Submit
    -0.69
    ĨĴ
    -0.65
    Ħ¢
    -0.61
    Ĥİ
    -0.60
    æĦ
    -0.60
    phot
    -0.60
    Queue
    -0.58
    ctions
    -0.57
    sonian
    -0.57
    POSITIVE LOGITS
     unchanged
    0.99
     outp
    0.96
     compared
    0.94
    higher
    0.94
     eclips
    0.93
     surpass
    0.92
     slightly
    0.88
     exceeding
    0.87
     considerably
    0.86
     dwar
    0.86
    Activations Density 0.136%

    No Known Activations