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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. 12-RES-JB
    11. 3220
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    Explanations

    personal narratives about experiences or memories

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of the word "was" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.89
     Cosponsors
    -0.77
    ãĤ´ãĥ³
    -0.74
    ibl
    -0.73
    Ü
    -0.73
    vantage
    -0.69
    heses
    -0.69
    ocaly
    -0.69
    =-=-=-=-
    -0.68
    istine
    -0.67
    POSITIVE LOGITS
     younger
    1.15
     young
    0.98
     teenager
    0.96
     growing
    0.95
     sixteen
    0.91
     thirteen
    0.90
     fourteen
    0.89
     seventeen
    0.88
     nineteen
    0.88
     twelve
    0.87
    Activations Density 0.082%

    No Known Activations