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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. 2499
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    Explanations

    technical instructions or steps for a process

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases related to significant events or key information in a narrative context

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     rye
    -0.92
     gays
    -0.76
    Gay
    -0.75
    Jewish
    -0.74
    gay
    -0.72
    Israeli
    -0.71
     Patel
    -0.71
    Sham
    -0.70
    Indian
    -0.69
    ether
    -0.69
    POSITIVE LOGITS
     âĢ
    1.25
    âĢ
    1.08
    ãĢ
    0.87
     Cust
    0.83
     Terra
    0.77
     Terminator
    0.77
     Participant
    0.74
     Poster
    0.74
     Scream
    0.73
     Workshop
    0.73
    Activations Density 0.869%

    No Known Activations