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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. 6-RES-JB
    11. 11667
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    Explanations

    names, particularly "Joey" and "Monica"

    oai_token-act-pair · gpt-3.5-turbo

    names of characters in a specific narrative or context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stroke
    -0.90
    maid
    -0.88
    fitting
    -0.81
    doors
    -0.80
    gart
    -0.80
    nov
    -0.79
    glers
    -0.78
    roman
    -0.78
    fitted
    -0.78
    marked
    -0.77
    POSITIVE LOGITS
     Chandler
    0.77
     Grill
    0.74
     Parsons
    0.73
     Crawford
    0.73
     Davis
    0.72
     Kramer
    0.72
     Foods
    0.72
     Reeves
    0.69
     Phillips
    0.69
     Reyes
    0.69
    Activations Density 0.036%

    No Known Activations