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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. 648
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    Explanations

    actions related to eating

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ate" and its variations

    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
     Quinn
    -0.81
     Mehran
    -0.75
     Boll
    -0.72
     Curtis
    -0.72
     provisional
    -0.68
     Reconstruction
    -0.68
     Chambers
    -0.68
     Spectre
    -0.67
     behalf
    -0.67
     Reeves
    -0.66
    POSITIVE LOGITS
     ate
    3.20
     eaten
    2.96
     eat
    2.59
     eats
    2.46
     eating
    2.35
    Eat
    2.14
     Eating
    2.10
     Eat
    2.08
    eating
    1.81
    eat
    1.77
    Activations Density 0.022%

    No Known Activations