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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. 8-RES-JB
    11. 870
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    Explanations

    words related to quantity or comparison

    oai_token-act-pair · gpt-3.5-turbo

    patterns of incremental addition or increase

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ools
    -0.77
    oppers
    -0.73
    ouch
    -0.70
    Ò
    -0.68
    assad
    -0.66
    inance
    -0.65
    FACE
    -0.64
    pez
    -0.61
    ampions
    -0.60
    OPS
    -0.60
    POSITIVE LOGITS
     progressively
    1.16
     progresses
    1.11
     increasingly
    0.99
     increasing
    0.97
     progressed
    0.94
     deepening
    0.90
     decreasing
    0.89
    increasing
    0.89
     steadily
    0.89
     intens
    0.88
    Activations Density 0.703%

    No Known Activations