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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    locations or references related to the city of "Grand Rapids."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Rapids" in various contexts

    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
    nces
    -0.75
    milo
    -0.73
    edy
    -0.67
    nuclear
    -0.66
    abases
    -0.65
    ocard
    -0.65
    otos
    -0.64
    amia
    -0.63
    isations
    -0.63
    orial
    -0.63
    POSITIVE LOGITS
     Rapids
    1.54
     Timbers
    0.81
    dale
    0.81
    hip
    0.79
    ville
    0.76
     Springs
    0.75
     Township
    0.71
     Paso
    0.70
    hyde
    0.70
     Rece
    0.69
    Activations Density 0.005%

    No Known Activations