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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. 2-RES-JB
    11. 12835
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to commercial or professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    andra
    -0.70
    igators
    -0.69
     Gemini
    -0.69
     Aval
    -0.68
     Matter
    -0.67
     Trace
    -0.66
     Pad
    -0.66
     Cause
    -0.65
     Janeiro
    -0.64
    vic
    -0.63
    POSITIVE LOGITS
    ised
    0.85
     commercially
    0.84
    ized
    0.78
    ONSORED
    0.77
    #$#$
    0.76
     marketed
    0.76
    Commercial
    0.75
    Ü
    0.74
     recover
    0.74
    izable
    0.73
    Activations Density 0.004%

    No Known Activations