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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. 9060
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    Explanations

    words related to an increase in statistics or quantities

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to increases or rises in quantities or prices

    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
    Not in Any Lists

    No Comments

    Negative Logits
     sar
    -0.73
    zan
    -0.68
    tta
    -0.68
    bred
    -0.68
    sol
    -0.67
    eve
    -0.63
    been
    -0.62
    Assembly
    -0.61
    clus
    -0.60
    forums
    -0.60
    POSITIVE LOGITS
     sharply
    1.24
     dramatically
    1.19
     substantially
    1.18
     steadily
    1.16
     considerably
    1.15
     exponentially
    1.14
     significantly
    1.09
     enormously
    1.08
     markedly
    1.08
     tremendously
    1.04
    Activations Density 0.082%

    No Known Activations