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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. 10-RES-JB
    11. 4817
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    Explanations

    questions or prompts starting with phrases like "Have you ever" or "Have fun" or "Have a look"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    north
    -0.60
    etting
    -0.59
    âĺħ
    -0.57
    FTWARE
    -0.56
    ãĤ¼ãĤ¦ãĤ¹
    -0.56
    south
    -0.55
     enactment
    -0.54
    rift
    -0.54
    SET
    -0.53
    opal
    -0.53
    POSITIVE LOGITS
     been
    1.03
     fun
    1.00
     mercy
    0.99
     Been
    0.92
    gotten
    0.86
    been
    0.86
    zens
    0.86
     you
    0.85
     gotten
    0.83
     gone
    0.77
    Activations Density 0.050%

    No Known Activations