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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. 19786
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    Explanations

    phrases indicating a change or action happening at a specific moment in time

    oai_token-act-pair · gpt-3.5-turbo

    the word "upon" and contexts indicating a return or arrival

    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
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.84
    Kids
    -0.77
    æ©
    -0.75
    apes
    -0.74
    ãĥ³ãĤ¸
    -0.74
    rams
    -0.73
    Ñĭ
    -0.71
    papers
    -0.71
    inx
    -0.71
    onga
    -0.70
    POSITIVE LOGITS
     arrival
    1.54
     completion
    1.33
     receipt
    1.07
     encountering
    1.03
     entering
    1.01
     graduation
    0.99
     inspection
    0.98
     arriving
    0.97
     discovering
    0.96
     reaching
    0.96
    Activations Density 0.063%

    No Known Activations