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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. 3-RES-JB
    11. 9005
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    INDEX
    Explanations

    phrases related to thickness or dense physical attributes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "thick" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FAULT
    -0.80
    OTA
    -0.75
    DB
    -0.73
     Million
    -0.70
    Particip
    -0.69
    OTO
    -0.68
     starring
    -0.65
    CB
    -0.65
    428
    -0.64
     Physicians
    -0.64
    POSITIVE LOGITS
    ened
    1.29
    ening
    1.28
    nesses
    1.09
    ener
    1.01
    ness
    0.94
    bread
    0.89
     thick
    0.89
     nodd
    0.88
     coats
    0.88
    ciating
    0.87
    Activations Density 0.010%

    No Known Activations