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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. 7965
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    Explanations

    references to sources of information

    oai_token-act-pair · gpt-3.5-turbo

    references to sources of information or citations

    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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    Negative Logits
    uckle
    -0.89
     teasp
    -0.82
    andel
    -0.80
    oÄŁ
    -0.80
    interstitial
    -0.79
     proport
    -0.77
    tarians
    -0.77
    pload
    -0.77
     carbohyd
    -0.76
     satell
    -0.76
    POSITIVE LOGITS
     Source
    1.15
     Sources
    0.97
    books
    0.94
     Finder
    0.89
    Forge
    0.84
    Tools
    0.82
    ource
    0.80
    Fed
    0.80
    source
    0.79
     Facilities
    0.79
    Activations Density 0.009%

    No Known Activations