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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. 4-RES-JB
    11. 1369
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    Explanations

    mentions of people's names, specifically the name "Chan"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Chan

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

    No Comments

    Negative Logits
    ACTED
    -0.82
    ACTION
    -0.76
    OAD
    -0.73
    GROUND
    -0.72
     Curiosity
    -0.72
    Trend
    -0.71
    IBLE
    -0.71
     GEAR
    -0.71
    IGH
    -0.70
    ãģ¾
    -0.69
    POSITIVE LOGITS
    ning
    1.20
    bara
    1.12
    unci
    0.93
    Serv
    0.93
    zon
    0.91
    aji
    0.90
    eless
    0.87
    istry
    0.86
    plain
    0.86
    unciation
    0.85
    Activations Density 0.007%

    No Known Activations