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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. 11-RES-JB
    11. 14559
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    Explanations

    mentions of scientific journals

    oai_token-act-pair · gpt-3.5-turbo

    references to academic journals and publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    avorite
    -0.80
    aucuses
    -0.78
    enei
    -0.76
    âķIJâķIJ
    -0.75
    olyn
    -0.72
    ressing
    -0.71
    ãĤĵ
    -0.71
     lengths
    -0.69
    prus
    -0.68
     lavish
    -0.66
    POSITIVE LOGITS
     Explain
    0.85
     Civ
    0.84
     Circ
    0.82
     Polit
    0.79
     Prec
    0.79
     Inside
    0.79
     PLoS
    0.79
     Invisible
    0.78
     Judicial
    0.78
     Modern
    0.78
    Activations Density 0.122%

    No Known Activations