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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "veteran"

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with a history of service or experience, commonly indicated by the term "veteran."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    efficients
    -0.88
    laws
    -0.84
    apo
    -0.81
    anchester
    -0.78
    orie
    -0.78
    alter
    -0.76
    ories
    -0.76
    ammy
    -0.75
    enza
    -0.75
    matic
    -0.74
    POSITIVE LOGITS
     veteran
    0.84
     Veteran
    0.79
     veterans
    0.76
    TAIN
    0.74
     widow
    0.68
     Veterans
    0.66
    ãĤĮ
    0.65
     homelessness
    0.64
     Tuls
    0.63
     clich
    0.62
    Activations Density 0.010%

    No Known Activations