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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. 1-RES-JB
    11. 13564
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    Explanations

    proper nouns such as names of companies or technologies

    oai_token-act-pair · gpt-3.5-turbo

    references to "wave" and related terms across different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uckland
    -0.98
    azeera
    -0.81
     thous
    -0.81
    atem
    -0.81
    nesota
    -0.80
    olson
    -0.79
    olulu
    -0.78
     hob
    -0.77
    sen
    -0.77
    ivia
    -0.75
    POSITIVE LOGITS
     Wave
    1.32
    Wave
    1.26
    wave
    1.14
     Waves
    0.97
    Cry
    0.91
     Sensor
    0.84
     Breaker
    0.83
    Works
    0.82
     Symphony
    0.81
    guide
    0.80
    Activations Density 0.012%

    No Known Activations