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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. 1088
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    uther
    -0.77
    itudinal
    -0.74
    sburg
    -0.73
    hma
    -0.71
    emouth
    -0.70
    igating
    -0.70
    ports
    -0.69
    shore
    -0.69
     Blasio
    -0.68
    ffen
    -0.67
    POSITIVE LOGITS
     coupons
    1.31
     coupon
    1.22
    andise
    0.81
    ļéĨĴ
    0.77
     Coup
    0.76
     lapse
    0.74
     expiration
    0.73
     CPC
    0.72
    ohydrate
    0.72
     expired
    0.71
    Activations Density 0.019%

    No Known Activations