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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. 9752
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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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    No Comments

    Negative Logits
    ologne
    -0.72
    hof
    -0.70
    holm
    -0.69
     Noir
    -0.68
     Lutheran
    -0.65
    itarian
    -0.65
    cham
    -0.65
    grass
    -0.64
     Normandy
    -0.63
    meyer
    -0.63
    POSITIVE LOGITS
     ..........
    1.40
    ãħĭãħĭ
    1.07
    ãħĭ
    0.93
     WATCHED
    0.87
    taboola
    0.80
    alty
    0.75
    ertodd
    0.73
    olulu
    0.73
    VERTISEMENT
    0.72
    allery
    0.72
    Activations Density 0.014%

    No Known Activations