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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. 14333
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    Explanations

    proper names and specific entities, particularly names like "Clay" and "Claire."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the names "Clay" and "Claire"

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    CVE
    -0.77
    Marginal
    -0.76
    isconsin
    -0.75
    ãĤ®
    -0.71
    ãĥĦ
    -0.70
    tale
    -0.68
    lar
    -0.67
    Gaza
    -0.66
    awa
    -0.66
    AMI
    -0.65
    POSITIVE LOGITS
    pool
    0.86
    oqu
    0.82
    oner
    0.80
    oning
    0.80
    avier
    0.79
    ojure
    0.79
    obyl
    0.79
    leans
    0.78
    mont
    0.76
    inant
    0.73
    Activations Density 0.077%

    No Known Activations