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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. 5163
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    Explanations

    phrases starting with 'I'

    oai_token-act-pair · gpt-3.5-turbo

    the character "Ļ"

    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
     looms
    -0.74
     bloc
    -0.70
     disadvant
    -0.70
     fortun
    -0.70
     promoters
    -0.69
     Seym
    -0.67
     agenda
    -0.67
     viability
    -0.67
     backdrop
    -0.67
     inhib
    -0.65
    POSITIVE LOGITS
    ï¸ı
    1.02
    Ļ
    0.91
    ATH
    0.84
    DEN
    0.83
    é¾įåĸļ士
    0.81
    NAME
    0.80
    %%%%
    0.79
    女
    0.78
    ï¸
    0.78
    ULE
    0.78
    Activations Density 0.269%

    No Known Activations