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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. 4666
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to corporate or organizational entities and their attributes

    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
    ĪĴ
    -0.80
    ħĭ
    -0.78
    inventoryQuantity
    -0.77
    daq
    -0.72
    chio
    -0.71
    ibe
    -0.70
    selves
    -0.70
    ounters
    -0.70
     suffice
    -0.70
     selves
    -0.69
    POSITIVE LOGITS
     consisting
    0.91
     combining
    0.81
     designed
    0.79
     themed
    0.77
     based
    0.76
    avascript
    0.75
    quartered
    0.74
     comprised
    0.73
     oriented
    0.71
     located
    0.68
    Activations Density 0.449%

    No Known Activations