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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. 3-RES-JB
    11. 5665
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    Explanations

    references to repetitive or cyclical events

    oai_token-act-pair · gpt-3.5-turbo

    references to cyclical patterns or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essors
    -0.88
    inez
    -0.87
    azeera
    -0.79
    awaru
    -0.79
    asketball
    -0.79
    orage
    -0.78
    iciency
    -0.78
    unicip
    -0.76
    icient
    -0.76
    atem
    -0.76
    POSITIVE LOGITS
     cycle
    1.21
     Cycle
    1.08
    cycles
    1.04
    cycle
    1.03
     cycles
    0.98
    cles
    0.81
     Britann
    0.78
     CY
    0.76
     erg
    0.75
     repeats
    0.75
    Activations Density 0.016%

    No Known Activations