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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. 7-RES-JB
    11. 11462
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    INDEX
    Explanations

    phrases related to enduring difficult experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to navigating complex processes or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nurse
    -0.65
    POSE
    -0.65
    NPR
    -0.64
    CVE
    -0.63
    Percent
    -0.62
    Person
    -0.62
    Lean
    -0.62
    iPhone
    -0.61
     Appl
    -0.61
     Resp
    -0.59
    POSITIVE LOGITS
     maze
    1.09
     hoops
    1.08
     motions
    1.00
     labyrinth
    0.99
     stages
    0.90
     hurdles
    0.90
     veins
    0.90
     unsc
    0.89
     hurdle
    0.87
     ordeal
    0.85
    Activations Density 0.268%

    No Known Activations