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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20825
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    INDEX
    Explanations

    references to technology and brand names

    oai_token-act-pair · gpt-3.5-turbo

    patterns and relationships related to quantity or comparison

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocious
    -0.60
    ustainable
    -0.56
    evidence
    -0.55
    icipated
    -0.55
    ynamic
    -0.54
    ormal
    -0.54
    lycer
    -0.53
     pend
    -0.53
    iked
    -0.53
    cohol
    -0.53
    POSITIVE LOGITS
    merce
    0.57
     Bin
    0.53
     blah
    0.52
     Stout
    0.50
     Bam
    0.50
     Cinema
    0.49
     Uncharted
    0.48
     theirs
    0.48
     lockdown
    0.48
    wings
    0.47
    Activations Density 1.394%

    No Known Activations