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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. 9-RES-JB
    11. 20697
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and specific entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    region
    -0.69
    wolves
    -0.68
    ories
    -0.67
    rals
    -0.65
    orical
    -0.65
    ĭ
    -0.65
    yrinth
    -0.64
    central
    -0.64
    runners
    -0.64
    dated
    -0.63
    POSITIVE LOGITS
     Sr
    1.28
     Jr
    1.16
     III
    0.98
     Productions
    0.91
     aka
    0.88
     Presents
    0.87
     Returns
    0.87
     QC
    0.85
     (@
    0.81
    ovich
    0.80
    Activations Density 0.165%

    No Known Activations