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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 6282
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    text related to the term "UE" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imated
    -0.77
    rooms
    -0.71
    entin
    -0.71
     unfocusedRange
    -0.70
    asses
    -0.68
    ãĤ¼ãĤ¦ãĤ¹
    -0.65
    ãĤ¢ãĥ«
    -0.65
    atform
    -0.62
    achusetts
    -0.62
     approx
    -0.61
    POSITIVE LOGITS
    UE
    1.55
    UES
    0.96
    lla
    0.95
    lement
    0.89
    ues
    0.86
    uve
    0.85
    FI
    0.83
    ue
    0.80
    BLE
    0.77
    nergy
    0.77
    Activations Density 0.006%

    No Known Activations