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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. 6617
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    Explanations

    operating system terms, particularly focusing on iterations of Windows XP

    oai_token-act-pair · gpt-3.5-turbo

    references to different versions of the Windows operating system, specifically focusing on Windows XP

    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
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    Negative Logits
     Recep
    -0.69
    ker
    -0.69
    lined
    -0.69
    âĸ¬âĸ¬
    -0.69
    mud
    -0.68
    gie
    -0.67
     Democr
    -0.66
    maid
    -0.66
     Erdogan
    -0.66
    lers
    -0.66
    POSITIVE LOGITS
    ORPG
    0.88
     XP
    0.84
    XP
    0.80
    aque
    0.79
    oint
    0.78
    uria
    0.77
    rowth
    0.76
    PE
    0.76
    ython
    0.75
    aques
    0.75
    Activations Density 0.006%

    No Known Activations