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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. 1-RES-JB
    11. 22863
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    Explanations

    phrases or words with special characters like symbols and emojis

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of the character 'ĺ'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raints
    -0.75
     stake
    -0.65
    intosh
    -0.65
     Cherokee
    -0.64
    orial
    -0.64
     Seym
    -0.62
    ewski
    -0.62
     Enlightenment
    -0.61
     vulnerabilities
    -0.61
    earchers
    -0.61
    POSITIVE LOGITS
    ĺ
    1.24
    Ŀ
    0.96
    fter
    0.96
    Ł
    0.92
    ļ
    0.91
    Ĺ
    0.89
    lean
    0.89
    ¸
    0.85
    ³
    0.85
    âĶĢâĶĢâĶĢâĶĢ
    0.81
    Activations Density 0.036%

    No Known Activations