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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. 10-RES-JB
    11. 10448
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    Explanations

    proper names consisting of first and last names

    oai_token-act-pair · gpt-3.5-turbo

    names and parts of names, particularly those associated with people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    footed
    -0.56
    igators
    -0.55
    glers
    -0.55
     lawy
    -0.54
     magnitude
    -0.52
     swall
    -0.51
    nces
    -0.51
     ancest
    -0.51
     sugg
    -0.51
     horm
    -0.51
    POSITIVE LOGITS
    opa
    0.73
    uana
    0.73
     Wynne
    0.71
    chal
    0.71
    quin
    0.69
    isode
    0.66
     Dare
    0.64
    ela
    0.63
    orie
    0.63
    cision
    0.61
    Activations Density 0.097%

    No Known Activations