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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. 10-RES-JB
    11. 6216
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    oai_token-act-pair · gpt-3.5-turbo

    references to specific conditions or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cott
    -0.95
    hemat
    -0.76
    rium
    -0.74
    reciation
    -0.74
    algia
    -0.74
    imilation
    -0.70
    athon
    -0.69
    tool
    -0.69
    sonian
    -0.69
    elsen
    -0.68
    POSITIVE LOGITS
     circumstances
    1.34
     surrounding
    1.05
     circumstance
    1.04
     permitting
    1.01
     situations
    0.99
     conducive
    0.93
     arose
    0.91
     conditions
    0.88
     intervened
    0.87
     arise
    0.87
    Activations Density 0.063%

    No Known Activations