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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. 10-RES-JB
    11. 5291
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    Explanations

    phrases related to setting something up or establishing certain conditions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to establishing regulations or guidelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cation
    -0.74
    john
    -0.73
    ecd
    -0.71
     Feeling
    -0.67
    lez
    -0.67
    alog
    -0.66
     Sins
    -0.64
    enza
    -0.64
    ï¸ı
    -0.63
    ery
    -0.63
    POSITIVE LOGITS
     deadlines
    1.22
     thresholds
    1.17
     aside
    1.14
     forth
    1.14
    tle
    1.13
     limits
    1.12
     minimum
    1.04
     criteria
    1.01
     standards
    0.99
     boundaries
    0.98
    Activations Density 0.043%

    No Known Activations