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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    references to childhood experiences and memories

    oai_token-act-pair · gpt-3.5-turbo

    references to childhood experiences and memories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ioxide
    -0.82
     lawy
    -0.81
    abase
    -0.80
    andum
    -0.77
    heading
    -0.70
    utical
    -0.70
    rity
    -0.69
    oples
    -0.69
    chens
    -0.69
    abases
    -0.68
    POSITIVE LOGITS
     memories
    1.00
     leukemia
    0.91
     innocence
    0.86
     Memories
    0.81
     adversity
    0.80
     trauma
    0.78
     experiences
    0.78
     dream
    0.78
     è£ıè
    0.76
     dreams
    0.75
    Activations Density 0.040%

    No Known Activations