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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    measurements in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "mill" in various contexts

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

    No Comments

    Negative Logits
    Else
    -0.78
    ĪĴ
    -0.74
    REM
    -0.66
     distingu
    -0.66
     Norn
    -0.65
     Bind
    -0.65
    å¦
    -0.65
     compr
    -0.64
    Reply
    -0.63
    DragonMagazine
    -0.62
    POSITIVE LOGITS
    imet
    1.43
    enium
    1.42
    imeters
    1.21
    imeter
    1.13
    mill
    1.05
     mill
    1.03
    ipl
    0.96
    eries
    0.93
    igans
    0.92
     mills
    0.91
    Activations Density 0.007%

    No Known Activations