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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. 15493
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    Explanations

    certain special characters, likely for a specific purpose or context in a language

    oai_token-act-pair · gpt-3.5-turbo

    specific symbols or characters in 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
     mathemat
    -0.81
     fortun
    -0.78
     disadvant
    -0.71
     pse
    -0.68
     soph
    -0.65
     weave
    -0.65
     Conrad
    -0.64
     contrace
    -0.64
     advis
    -0.64
     carbohyd
    -0.64
    POSITIVE LOGITS
    ï¸ı
    0.98
    éĩ
    0.77
    ب
    0.75
    士
    0.74
    hei
    0.73
    tre
    0.73
    女
    0.73
    ï¸
    0.73
    Balt
    0.73
    esc
    0.72
    Activations Density 0.353%

    No Known Activations