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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. 3-RES-JB
    11. 3210
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    Explanations

    terms related to directions and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to emotional or impactful events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.70
     scatter
    -0.62
    odan
    -0.58
     Mayo
    -0.58
     detached
    -0.58
     swept
    -0.58
    itably
    -0.58
     secretaries
    -0.56
     staggered
    -0.56
     nonexistent
    -0.56
    POSITIVE LOGITS
    £
    1.03
    º
    0.94
    ¹
    0.91
     âĢº
    0.91
    į
    0.84
    ı
    0.78
    ISIS
    0.78
    Ī
    0.76
    bryce
    0.76
    Ĵ
    0.75
    Activations Density 0.520%

    No Known Activations