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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. 1-RES-JB
    11. 5187
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    Explanations

    references to locations, such as Wellington and Waterloo

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographical locations, particularly Wellington and Waterloo

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Magikarp
    -0.92
    nda
    -0.83
    ibli
    -0.83
    âķIJâķIJ
    -0.78
    rd
    -0.76
    âĹ¼
    -0.74
    friend
    -0.73
    dar
    -0.72
    vana
    -0.72
    è¦
    -0.72
    POSITIVE LOGITS
     Wellington
    1.32
    igon
    0.85
     Gardens
    0.83
     Auckland
    0.82
     Polo
    0.81
     Islanders
    0.78
     Islands
    0.73
     Spit
    0.73
     Waterloo
    0.72
     Isles
    0.72
    Activations Density 0.003%

    No Known Activations