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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. 4675
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    INDEX
    Explanations

    instances where someone is looking for something or considering a future action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intentions or future plans

    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
    anchester
    -0.70
    soever
    -0.65
    eros
    -0.59
    pite
    -0.59
    owl
    -0.58
     Nationwide
    -0.57
     costing
    -0.57
     Conversation
    -0.56
    pox
    -0.56
    ienne
    -0.56
    POSITIVE LOGITS
    ggles
    1.07
     conserve
    0.96
     emulate
    0.94
     prioritize
    0.94
     accommodate
    0.92
    asty
    0.89
     optimize
    0.88
     differentiate
    0.88
     tighten
    0.88
     improve
    0.86
    Activations Density 0.078%

    No Known Activations