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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. 7869
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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "to"

    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
     costing
    -0.64
    soDeliveryDate
    -0.62
    enforcement
    -0.59
    thought
    -0.59
    offensive
    -0.59
    furt
    -0.58
    imag
    -0.58
    cffffcc
    -0.57
    necess
    -0.57
    ramer
    -0.57
    POSITIVE LOGITS
    ggles
    1.27
     maximize
    1.22
     ensure
    1.18
     minimize
    1.14
     avoid
    1.14
     activate
    1.11
     reduce
    1.03
     create
    1.02
     achieve
    1.02
     determine
    1.01
    Activations Density 0.178%

    No Known Activations