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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 title "minister."

    oai_token-act-pair · gpt-4-turbo

    mentions of political figures, specifically government ministers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of governmental roles, specifically the term "minister."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    feat
    -0.75
    vent
    -0.73
    ilers
    -0.71
    OPA
    -0.66
    CRIP
    -0.66
    avery
    -0.65
    eros
    -0.64
    DIS
    -0.63
    emp
    -0.63
    ggles
    -0.62
    POSITIVE LOGITS
    ially
    1.08
     minister
    0.92
    ial
    0.86
     ministers
    0.85
     Minister
    0.80
    ials
    0.77
    iate
    0.76
    itatively
    0.75
     ministries
    0.73
    ute
    0.72
    Activations Density 0.018%

    No Known Activations