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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. 3-RES-JB
    11. 6282
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    Explanations

    keywords related to outreach activities and programs

    oai_token-act-pair · gpt-3.5-turbo

    references to outreach initiatives and programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    士
    -0.75
     Proced
    -0.69
    fall
    -0.67
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.65
    fps
    -0.64
    âĢ²
    -0.64
    oil
    -0.63
     Jou
    -0.63
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.62
    cake
    -0.62
    POSITIVE LOGITS
     outreach
    1.39
     influ
    0.80
    atown
    0.77
    orescence
    0.77
     efforts
    0.76
     missionaries
    0.76
    tip
    0.76
     coordinator
    0.75
     campaigns
    0.74
    aukee
    0.73
    Activations Density 0.022%

    No Known Activations