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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. 1826
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    time zone abbreviations related to specific timestamps

    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
    bee
    -0.70
    izations
    -0.67
     informants
    -0.66
     unexpl
    -0.65
     resemb
    -0.63
    ffield
    -0.62
     acknowled
    -0.62
    flies
    -0.61
    isable
    -0.61
     incorpor
    -0.60
    POSITIVE LOGITS
    EMBER
    0.93
     CET
    0.80
    ARGET
    0.78
    ION
    0.78
    CHR
    0.77
    ember
    0.76
    DAQ
    0.76
    OUR
    0.76
    Ãī
    0.75
     EDT
    0.72
    Activations Density 0.035%

    No Known Activations