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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. 2165
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    Explanations

    words related to strategies and planning

    oai_token-act-pair · gpt-3.5-turbo

    references to strategies or plans

    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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    Negative Logits
    rake
    -0.82
    plet
    -0.76
    tein
    -0.74
    ippers
    -0.73
    ragon
    -0.69
    leased
    -0.69
    owan
    -0.68
    vals
    -0.68
    export
    -0.67
    pine
    -0.66
    POSITIVE LOGITS
    ategy
    1.09
     strategy
    1.00
    ategic
    0.89
     Strategy
    0.88
     formulation
    0.83
     strategies
    0.80
     strateg
    0.78
     Strategies
    0.75
    oleon
    0.74
     reversal
    0.71
    Activations Density 0.018%

    No Known Activations