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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. 9-RES-JB
    11. 4994
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    orem
    -0.78
    ļéĨĴ
    -0.74
    ery
    -0.72
    amus
    -0.72
    ¬¼
    -0.71
    cel
    -0.69
    enary
    -0.68
    ļ
    -0.67
    ebus
    -0.67
    wyn
    -0.66
    POSITIVE LOGITS
     including
    1.75
     ranging
    1.70
     namely
    1.42
     includ
    1.42
     Including
    1.37
    including
    1.35
     culminating
    1.33
     spanning
    1.29
     totaling
    1.23
     depending
    1.15
    Activations Density 0.451%

    No Known Activations