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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 34
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    INDEX
    Explanations

    mentions of the word "Ven" or similar variations, possibly related to Venice

    oai_token-act-pair · gpt-3.5-turbo

    references to specific places, particularly related to Venice and people associated with it

    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
     actionGroup
    -0.65
    intosh
    -0.65
     ACTIONS
    -0.63
    ARC
    -0.62
     partName
    -0.62
    dash
    -0.61
    nesses
    -0.60
     BaseType
    -0.59
    ONT
    -0.58
     motivational
    -0.57
    POSITIVE LOGITS
    ues
    1.07
    enum
    0.96
    ator
    0.93
    ue
    0.92
    eto
    0.90
    ison
    0.90
    acular
    0.90
    agra
    0.90
    eca
    0.88
    uers
    0.86
    Activations Density 0.038%

    No Known Activations