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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. 8-RES-JB
    11. 17088
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    Explanations

    names of historical figures or prominent individuals

    oai_token-act-pair · gpt-3.5-turbo

    rare or specialized terms and uncommonly used words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iatrics
    -0.69
    MET
    -0.65
    ãĥ¬
    -0.63
    theless
    -0.63
     Seym
    -0.62
    >>>>>>>>
    -0.62
     concess
    -0.61
     mater
    -0.60
    EStream
    -0.60
     Haku
    -0.59
    POSITIVE LOGITS
    enment
    0.75
    eele
    0.75
    tein
    0.73
    riter
    0.72
    dden
    0.72
    atoes
    0.70
    lement
    0.70
    lishes
    0.69
    uve
    0.68
    essen
    0.65
    Activations Density 0.307%

    No Known Activations