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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. 6-RES-JB
    11. 17836
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    Explanations

    phrases related to motivations, decisions, and achievements

    oai_token-act-pair · gpt-3.5-turbo

    special characters or unusual formatting in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scatter
    -0.59
     decomp
    -0.52
     cyan
    -0.51
     scattering
    -0.51
     buggy
    -0.51
     shack
    -0.50
     bed
    -0.49
     Nib
    -0.48
     radar
    -0.47
     coast
    -0.47
    POSITIVE LOGITS
    ¹
    0.85
    £
    0.83
    ı
    0.79
    º
    0.79
    ¡
    0.78
    Ĵ
    0.78
    ł
    0.77
    į
    0.76
    ¬
    0.72
    §
    0.72
    Activations Density 0.493%

    No Known Activations