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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. 7-RES-JB
    11. 21376
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    Explanations

    phrases related to caution or warning

    oai_token-act-pair · gpt-3.5-turbo

    the concept of caution or being careful in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    upon
    -0.98
    amen
    -0.79
    onde
    -0.77
    IRE
    -0.73
    hung
    -0.72
    hello
    -0.71
    bers
    -0.70
    entity
    -0.69
    NZ
    -0.68
    obo
    -0.68
    POSITIVE LOGITS
     lest
    0.81
     scrutiny
    0.79
     calibr
    0.78
    tarian
    0.72
     prag
    0.70
     distingu
    0.68
     enough
    0.68
     undermin
    0.67
     empir
    0.67
    tarians
    0.66
    Activations Density 0.036%

    No Known Activations