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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. 4347
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    Explanations

    the word "thick" followed by various other words or contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "thick."

    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
    FAULT
    -0.75
    OTA
    -0.72
    DB
    -0.70
     Million
    -0.69
    Particip
    -0.69
     starring
    -0.67
    CB
    -0.66
     Voters
    -0.65
    OTO
    -0.64
    pheus
    -0.63
    POSITIVE LOGITS
    ened
    1.26
    ening
    1.25
    nesses
    1.16
    ener
    1.01
    ness
    0.98
     coats
    0.96
    entimes
    0.93
    layer
    0.93
     layers
    0.91
     thick
    0.89
    Activations Density 0.009%

    No Known Activations