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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
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    Explanations

    the word "ams" with high activations

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the sequence "ams" in various contexts

    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
     bellig
    -0.64
     resemb
    -0.63
     partisans
    -0.62
     acknowledgment
    -0.62
     prompt
    -0.62
     ascend
    -0.60
     presidents
    -0.60
     occup
    -0.59
     seniors
    -0.59
     convictions
    -0.59
    POSITIVE LOGITS
    mith
    1.03
    olver
    0.98
    creen
    0.96
    arah
    0.94
    utra
    0.94
    mas
    0.93
    ams
    0.92
    chool
    0.91
    hell
    0.91
    ilton
    0.90
    Activations Density 0.008%

    No Known Activations