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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
    11. 18468
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    Explanations

    phrases related to preparation or action towards a specific goal or outcome

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing capability or potential actions

    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
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    No Comments

    Negative Logits
     supra
    -0.79
     understatement
    -0.72
     setback
    -0.70
    ansk
    -0.69
    quickShipAvailable
    -0.68
     irony
    -0.68
     Nicaragua
    -0.62
    ":""},{"
    -0.62
    ccording
    -0.62
     corrid
    -0.61
    POSITIVE LOGITS
    sylv
    0.89
     safely
    0.87
    ctic
    0.69
    acebook
    0.69
     stayed
    0.67
    ablishment
    0.67
    ebook
    0.65
    days
    0.65
     begin
    0.65
    mie
    0.64
    Activations Density 0.113%

    No Known Activations