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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. 9-RES-JB
    11. 22646
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    UTERS
    -0.90
    endment
    -0.73
    ouston
    -0.70
    mercial
    -0.69
    ython
    -0.68
    umen
    -0.68
     Kyr
    -0.68
    ongyang
    -0.67
    ombo
    -0.66
     Sasha
    -0.66
    POSITIVE LOGITS
    oids
    0.95
    oid
    0.90
    holm
    0.88
    bucks
    0.86
    geist
    0.84
    ious
    0.81
    isks
    0.81
     Spit
    0.79
    lund
    0.76
    weights
    0.76
    Activations Density 0.095%

    No Known Activations