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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
    11. 136
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    Explanations

    a variety or wide selection of items

    oai_token-act-pair · gpt-3.5-turbo

    multiple instances of the word "array" referring to collections or groups

    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
     crawl
    -0.72
    WAR
    -0.65
     Upton
    -0.65
    SF
    -0.64
     ABE
    -0.63
     Underground
    -0.63
    Ur
    -0.63
    Production
    -0.62
    peg
    -0.62
    razil
    -0.59
    POSITIVE LOGITS
     array
    0.93
    mble
    0.75
    alist
    0.72
    arium
    0.70
    naire
    0.69
     arrays
    0.68
    eering
    0.65
    aution
    0.64
    naires
    0.64
     variables
    0.63
    Activations Density 0.008%

    No Known Activations