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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
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    Explanations

    mentions of the company "Siemens" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific company names and proper nouns, particularly related to technology and geopolitics

    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
    wealth
    -0.75
    urous
    -0.70
     vessels
    -0.70
    uously
    -0.69
    ivia
    -0.69
    ibilities
    -0.68
    ivities
    -0.65
     caregivers
    -0.64
    itably
    -0.64
    ivity
    -0.62
    POSITIVE LOGITS
    inally
    0.91
    otle
    0.81
    eon
    0.81
    onday
    0.80
    mology
    0.80
    pez
    0.79
    icians
    0.79
     Lumpur
    0.78
    iane
    0.75
    ische
    0.74
    Activations Density 0.027%

    No Known Activations