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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. 4-RES-JB
    11. 22635
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    Explanations

    people's names mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and their associations

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

    No Comments

    Negative Logits
    ãĥ¥
    -0.70
    planes
    -0.69
    Results
    -0.64
    idepress
    -0.61
     stereotypes
    -0.61
    tro
    -0.61
    process
    -0.61
    Characters
    -0.60
     dreams
    -0.60
     hindsight
    -0.60
    POSITIVE LOGITS
     Jr
    1.31
     Sr
    1.16
     aka
    1.03
    tein
    0.98
    Jr
    0.95
     QC
    0.93
     who
    0.78
     PhD
    0.77
     LLP
    0.77
    govtrack
    0.77
    Activations Density 0.268%

    No Known Activations