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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. 9-RES-JB
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    Explanations

    references to geopolitical issues related to settlements in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of settlements, particularly in the context of political or territorial discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inx
    -1.12
    iris
    -0.95
    emis
    -0.93
    asus
    -0.89
    cemic
    -0.82
    etic
    -0.82
    oppy
    -0.80
    İ
    -0.80
    ussen
    -0.79
    odynam
    -0.78
    POSITIVE LOGITS
     settlement
    1.05
     settlements
    0.98
     Settlement
    0.96
     bloc
    0.83
     Sett
    0.79
     Agreement
    0.78
     agreements
    0.76
     agreement
    0.75
     Covenant
    0.72
     Cla
    0.72
    Activations Density 0.041%

    No Known Activations