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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. 9-RES-JB
    11. 19944
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    Explanations

    verbs related to actions or movement, especially involving going from one place to another

    oai_token-act-pair · gpt-3.5-turbo

    actions and movements related to everyday tasks and routines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.82
     experimentation
    -0.79
     experimenting
    -0.67
    çīĪ
    -0.67
    canon
    -0.67
    severe
    -0.66
     intrigue
    -0.66
     Experiment
    -0.65
     experimented
    -0.64
     insurg
    -0.64
    POSITIVE LOGITS
     groceries
    1.22
     restroom
    1.03
    uggage
    0.95
     laundry
    0.95
     bathroom
    0.94
     supper
    0.91
     meals
    0.89
     luggage
    0.88
     breakfast
    0.88
     toile
    0.87
    Activations Density 0.661%

    No Known Activations