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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. 0-RES-JB
    11. 12826
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    Explanations

    mentions of the word "orn" with random characters in the data

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific bird species or related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     3000
    -0.67
     calculating
    -0.62
    nery
    -0.62
     contacts
    -0.62
     progressively
    -0.60
     grades
    -0.58
     qualification
    -0.58
     crossover
    -0.57
     accelerator
    -0.57
     reactors
    -0.57
    POSITIVE LOGITS
    orn
    4.58
    orns
    2.73
    ORN
    2.41
    orne
    2.11
    orned
    1.68
    ornia
    1.42
    orno
    1.27
    ör
    1.16
    ollen
    1.14
    orse
    1.11
    Activations Density 0.021%

    No Known Activations