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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. 5852
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    Explanations

    numeric values, especially those related to years

    oai_token-act-pair · gpt-3.5-turbo

    the special character "âĢ" in the text

    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
    anwhile
    -0.83
     gad
    -0.76
    wagen
    -0.69
     masse
    -0.69
     Appalach
    -0.68
    lda
    -0.67
    nown
    -0.65
    espie
    -0.65
     scatter
    -0.64
     blond
    -0.64
    POSITIVE LOGITS
    º
    1.07
    £
    1.06
    ¹
    1.00
     âĢº
    0.99
    ı
    0.94
    į
    0.93
    Ī
    0.92
    Į
    0.89
    ®
    0.87
    ¡
    0.86
    Activations Density 0.163%

    No Known Activations