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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
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to empirical research and scientific principles

    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
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    Negative Logits
    ongyang
    -0.87
    creen
    -0.78
    estyles
    -0.77
    ways
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    aina
    -0.76
    ooks
    -0.75
    atto
    -0.74
    NetMessage
    -0.73
    kat
    -0.72
    esses
    -0.71
    POSITIVE LOGITS
    ensional
    0.88
    ãĤº
    0.82
    é¾
    0.79
    uitive
    0.78
     empir
    0.78
    ministic
    0.75
    ãĥ¼ãĥĨãĤ£
    0.73
    ãĥĻ
    0.71
     empirical
    0.71
    odox
    0.71
    Activations Density 0.025%

    No Known Activations