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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. 7-RES-JB
    11. 17947
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    Explanations

    mentions of actions related to technological advancements and industry developments

    oai_token-act-pair · gpt-3.5-turbo

    actions and outcomes related to business and innovation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     redacted
    -0.78
     Refer
    -0.76
     withdrawing
    -0.75
    Administ
    -0.68
     Anonymous
    -0.68
     Administ
    -0.67
    Refer
    -0.67
     ACTIONS
    -0.65
     briefed
    -0.65
    administ
    -0.64
    POSITIVE LOGITS
     versatility
    0.91
     leaps
    0.89
     tremend
    0.88
    ãĤ¤ãĥĪ
    0.87
     reinvent
    0.84
     innovate
    0.81
     brilliantly
    0.78
     showcase
    0.78
     creativity
    0.77
     momentum
    0.77
    Activations Density 0.491%

    No Known Activations