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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. 4-RES-JB
    11. 9464
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    Explanations

    words related to "ingredients" or "components" in a recipe context

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of "cesses" or "processes."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uliffe
    -0.60
     SAP
    -0.59
    lifting
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     laundering
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     IST
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     Period
    -0.57
     divest
    -0.57
    skirts
    -0.57
    apache
    -0.57
    clinton
    -0.57
    POSITIVE LOGITS
    ces
    0.89
    vous
    0.87
    umbnail
    0.84
    avier
    0.82
    cript
    0.79
    uits
    0.79
    adoes
    0.77
    earch
    0.75
    creen
    0.73
    ktop
    0.73
    Activations Density 0.010%

    No Known Activations