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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. 4150
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    Explanations

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    transitional phrases indicating contrast or concession

    oai_token-act-pair · gpt-3.5-turbo
    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
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    Negative Logits
    qt
    -0.69
    DAQ
    -0.67
    aukee
    -0.64
    habi
    -0.63
    utral
    -0.60
    orthy
    -0.58
    iblings
    -0.56
    istani
    -0.56
    IZE
    -0.56
    ife
    -0.56
    POSITIVE LOGITS
    jong
    0.70
    pires
    0.68
    ©¶æ
    0.67
     SOME
    0.64
    Ħ¢
    0.63
     ptr
    0.62
    perty
    0.59
     comprom
    0.58
    ĨĴ
    0.58
     "{
    0.58
    Activations Density 0.439%

    No Known Activations