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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. 11-RES-JB
    11. 1254
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    Explanations

    elements of instructions or steps indicating how to do a specific task

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "just" and its variations, indicating a focus on simplicity or instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oret
    -0.63
     Pett
    -0.63
     Palest
    -0.60
    Scar
    -0.60
    ibal
    -0.59
     developments
    -0.59
    antis
    -0.59
     Syndrome
    -0.58
    Third
    -0.58
    Sem
    -0.58
    POSITIVE LOGITS
     kidding
    0.88
     plug
    0.87
     flick
    0.86
    paste
    0.85
     paste
    0.84
     grab
    0.81
     copy
    0.80
     ignore
    0.80
     download
    0.79
     click
    0.79
    Activations Density 0.061%

    No Known Activations