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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. 4-RES-JB
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    Explanations

    words related to military bases

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bases" in various contexts

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

    No Comments

    Negative Logits
    nel
    -0.79
    apers
    -0.69
    FP
    -0.68
     VIDEO
    -0.67
    ifest
    -0.65
    fell
    -0.64
    chrom
    -0.64
     Rapp
    -0.63
    Ju
    -0.63
     Loans
    -0.62
    POSITIVE LOGITS
    sembly
    0.91
    layer
    0.81
    chwitz
    0.80
     lining
    0.76
    auga
    0.72
    chool
    0.71
    onial
    0.68
     themselves
    0.65
    bsite
    0.65
     overseas
    0.64
    Activations Density 0.016%

    No Known Activations