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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. 0-RES-JB
    11. 7852
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    Explanations

    instances of object-related terms or keywords commonly found in coding contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to programming objects and object-oriented concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stoked
    -0.85
     capped
    -0.78
     dent
    -0.72
     brim
    -0.72
     haircut
    -0.70
     mills
    -0.69
     gearing
    -0.68
    hani
    -0.68
     topping
    -0.67
     shave
    -0.67
    POSITIVE LOGITS
    Object
    3.46
     Object
    3.12
    object
    2.41
     Objective
    2.07
     Objects
    1.89
     Obj
    1.69
    objects
    1.52
     object
    1.51
    Obj
    1.50
    obj
    1.30
    Activations Density 0.029%

    No Known Activations