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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. 242
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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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    Negative Logits
    Sensor
    -0.74
    Mir
    -0.66
    Registered
    -0.66
    ¯¯
    -0.66
    Import
    -0.65
    Fle
    -0.65
    âĸ¬âĸ¬
    -0.64
    Loading
    -0.64
    Cru
    -0.64
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.63
    POSITIVE LOGITS
    backs
    1.07
    thro
    0.97
    lasses
    0.91
    scenes
    0.88
     cuts
    0.87
    scene
    0.85
     slashed
    0.84
    cliffe
    0.83
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.82
    lass
    0.81
    Activations Density 0.027%

    No Known Activations