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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. 13272
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    INDEX
    Explanations

    names of people or characters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name 'Chan' and related characters

    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
    ACTED
    -0.83
     GEAR
    -0.73
    ACTION
    -0.72
     Marijuana
    -0.70
     mileage
    -0.69
     Cannabis
    -0.69
     Curiosity
    -0.69
     Carnegie
    -0.69
    OAD
    -0.68
    ãģ¾
    -0.67
    POSITIVE LOGITS
    bara
    1.13
    ning
    1.11
    aji
    0.96
    oir
    0.93
    Serv
    0.92
    plain
    0.91
    eless
    0.90
     Chan
    0.89
    zon
    0.88
    pei
    0.88
    Activations Density 0.008%

    No Known Activations