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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. 22714
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    Explanations

    specific names or terms, particularly those related to locations or technical concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Buch" and related geographical or organizational terms

    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
    qua
    -0.75
    aeda
    -0.75
    Redditor
    -0.71
    ictionary
    -0.69
    ectomy
    -0.69
     mustard
    -0.69
    xual
    -0.68
    osite
    -0.67
    ãĥ¼ãĥ
    -0.66
    ãĤ¹ãĥĪ
    -0.65
    POSITIVE LOGITS
    arest
    1.02
    hold
    0.84
    bats
    0.82
    wald
    0.81
    luck
    0.80
     Buch
    0.79
    heit
    0.78
    nam
    0.75
    meyer
    0.74
     Ley
    0.73
    Activations Density 0.013%

    No Known Activations