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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. 1-RES-JB
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    Explanations

    mentions of the brand "Mercedes-Benz"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Mercedes-Benz" or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.93
    bered
    -0.75
    ality
    -0.74
     Bones
    -0.73
    Ñĭ
    -0.72
    itably
    -0.71
    tailed
    -0.71
    ALE
    -0.69
    Reviewer
    -0.69
    UST
    -0.65
    POSITIVE LOGITS
    Benz
    1.37
     Benz
    1.21
    iazep
    0.88
     benz
    0.83
    entimes
    0.81
    borgh
    0.79
    emis
    0.75
    agne
    0.74
    alm
    0.73
    ugen
    0.72
    Activations Density 0.008%

    No Known Activations