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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. 11138
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    Explanations

    references to monetary amounts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a rate or measurement per unit

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ARDIS
    -0.73
    enegger
    -0.71
    ealous
    -0.70
    makers
    -0.70
     Ruk
    -0.68
     GOODMAN
    -0.65
    arium
    -0.64
    soDeliveryDate
    -0.64
    achine
    -0.63
     Leilan
    -0.63
    POSITIVE LOGITS
     capita
    1.34
    tains
    1.01
    ishable
    0.99
    imeter
    0.92
    malink
    0.91
     cent
    0.89
    missive
    0.86
    uvian
    0.85
    missible
    0.84
    versely
    0.83
    Activations Density 0.032%

    No Known Activations