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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. 23922
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    Explanations

    references to units of measurement related to distance such as 'mile' and 'yard.'

    oai_token-act-pair · gpt-3.5-turbo

    specific time and measurement references

    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
    NetMessage
    -0.76
    PsyNetMessage
    -0.74
    EStreamFrame
    -0.71
    actionDate
    -0.67
    HCR
    -0.63
     Purg
    -0.62
    ettings
    -0.61
    SpaceEngineers
    -0.61
     Imper
    -0.61
    enegger
    -0.61
    POSITIVE LOGITS
    wise
    1.08
    glass
    1.06
    age
    0.95
    ages
    0.93
    stick
    0.88
    antry
    0.87
    cake
    0.84
    osity
    0.83
    ometers
    0.83
    icity
    0.81
    Activations Density 0.161%

    No Known Activations