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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. 6-RES-JB
    11. 17319
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    iterations of the word "what" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tide
    -0.66
     fixme
    -0.62
    piece
    -0.61
    Ļ½
    -0.60
     Blazers
    -0.56
    Tex
    -0.56
     Packers
    -0.56
    jee
    -0.56
     Oy
    -0.55
    xon
    -0.55
    POSITIVE LOGITS
     constitutes
    0.95
     transpired
    0.94
     happened
    0.92
     constituted
    0.91
     happens
    0.88
    soever
    0.88
    ãĤ¼ãĤ¦ãĤ¹
    0.87
    Downloadha
    0.80
    onga
    0.77
     happ
    0.75
    Activations Density 0.045%

    No Known Activations