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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. 8927
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    instances of commas in conjunction with phrases indicating people or identifiers

    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
    ipeg
    -0.69
    ysc
    -0.65
     progress
    -0.64
     prompt
    -0.61
    ocations
    -0.60
    ioxid
    -0.60
     compound
    -0.60
    "}],"
    -0.58
    oline
    -0.57
    abit
    -0.57
    POSITIVE LOGITS
     Jr
    1.49
     Sr
    1.25
     aka
    1.15
    Jr
    1.05
     PhD
    1.01
     QC
    0.98
     who
    0.96
    who
    0.91
     whose
    0.88
     whom
    0.85
    Activations Density 0.191%

    No Known Activations