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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

    references to residents living in specific locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "resident"

    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
    gged
    -0.83
    lda
    -0.80
    displayText
    -0.74
    andem
    -0.73
    Bone
    -0.73
    AAF
    -0.71
    etheus
    -0.71
    argon
    -0.71
    uberty
    -0.71
    aline
    -0.71
    POSITIVE LOGITS
     resident
    1.09
     Residents
    0.89
     residents
    0.81
     Dwell
    0.81
     dwell
    0.79
     Resident
    0.78
    resident
    0.75
    Residents
    0.71
    izens
    0.71
     surn
    0.70
    Activations Density 0.006%

    No Known Activations