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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. 7-RES-JB
    11. 14057
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    Explanations

    numerical values followed by the word 'sites'

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and numerical expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     continuity
    -0.73
     attent
    -0.72
     rejo
    -0.71
     swing
    -0.69
     dreaded
    -0.67
     temperament
    -0.66
     sto
    -0.65
     cheering
    -0.65
     este
    -0.65
     due
    -0.64
    POSITIVE LOGITS
    Advertisement
    1.29
    Its
    1.21
    Using
    1.20
    SPONSORED
    1.15
    RELATED
    1.15
    Created
    1.15
    Users
    1.14
    Aim
    1.12
    Researchers
    1.11
    CBC
    1.10
    Activations Density 0.529%

    No Known Activations