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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. 4-RES-JB
    11. 7541
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    Explanations

    references to the company "Citrix"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Citroën brand

    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
    tackle
    -0.73
    ĺħ
    -0.72
    ãĤĭ
    -0.70
    ¿½
    -0.68
    ĪĴ
    -0.68
     hopeful
    -0.68
    ¥µ
    -0.68
    ¶ħ
    -0.68
    cknow
    -0.67
    etheless
    -0.66
    POSITIVE LOGITS
    rix
    1.13
    igroup
    1.11
     Cit
    1.09
    cit
    1.03
    unia
    0.94
    erno
    0.91
    uana
    0.91
    abus
    0.88
    ron
    0.87
    oline
    0.87
    Activations Density 0.010%

    No Known Activations