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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
    11. 1726
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    Explanations

    phrases related to specific events or actions, often associated with negative contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to events or actions that occur "during" notable time frames

    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
    issance
    -0.92
    uckland
    -0.80
    ãĤ¼ãĤ¦ãĤ¹
    -0.80
    "},{"
    -0.79
    rians
    -0.77
    orest
    -0.76
    MpServer
    -0.76
    anse
    -0.73
    FIG
    -0.73
    åĮ
    -0.73
    POSITIVE LOGITS
     speeches
    1.26
     briefings
    1.18
     interviews
    1.14
     debates
    1.11
     meetings
    1.04
     interrogation
    1.02
     hearings
    0.99
     questioning
    0.97
     negotiations
    0.96
     conversations
    0.95
    Activations Density 0.368%

    No Known Activations