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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. 2-RES-JB
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    Explanations

    mentions of the brand "Toshiba"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or entities, especially focusing on the word "Toshiba."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.87
    ĪĴ
    -0.83
    netflix
    -0.80
    SHIP
    -0.77
    ĺħ
    -0.75
    eering
    -0.74
    eer
    -0.71
     Reloaded
    -0.68
    Ñĭ
    -0.67
    iosis
    -0.66
    POSITIVE LOGITS
    hiba
    1.80
     Tos
    1.28
    cano
    1.18
    quin
    0.93
    ques
    0.85
    hei
    0.85
    eno
    0.85
    anos
    0.81
    terness
    0.81
    fs
    0.76
    Activations Density 0.009%

    No Known Activations