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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. 23116
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    INDEX
    Explanations

    mention of people's titles or occupations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and organizations

    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
    Decre
    -0.67
    process
    -0.64
    ãĥ¥
    -0.64
     receptors
    -0.61
    planes
    -0.60
     marginal
    -0.58
     outputs
    -0.57
    FIX
    -0.56
    epad
    -0.56
     excess
    -0.55
    POSITIVE LOGITS
     meanwhile
    1.04
     Sr
    1.00
     Jr
    0.98
     aka
    0.91
     however
    0.87
     QC
    0.87
     chairman
    0.83
     who
    0.81
    tein
    0.81
     pictured
    0.80
    Activations Density 0.154%

    No Known Activations