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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. 3402
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    Explanations

    texts related to "means" or methods of achieving something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate methods or means to achieve a goal

    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
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    No Comments

    Negative Logits
    oos
    -0.67
    igi
    -0.65
    dfx
    -0.65
    aples
    -0.65
     Wink
    -0.64
    INTON
    -0.63
    ubb
    -0.63
    herent
    -0.63
    omez
    -0.62
    endas
    -0.61
    POSITIVE LOGITS
     whereby
    0.91
    terday
    0.77
    fare
    0.72
    chery
    0.69
     thereof
    0.68
     è£ıè
    0.67
    forward
    0.67
    ãĥŁ
    0.65
    chieve
    0.65
    cular
    0.65
    Activations Density 0.035%

    No Known Activations