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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. 2-RES-JB
    11. 13538
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    Explanations

    words related to heeding or taking action in response to a warning or advice

    oai_token-act-pair · gpt-3.5-turbo

    terms related to caution and paying attention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     representation
    -0.69
    eneg
    -0.68
     transports
    -0.67
     challeng
    -0.66
     jer
    -0.65
     congress
    -0.65
     admission
    -0.62
     roomm
    -0.62
    uration
    -0.61
    eries
    -0.61
    POSITIVE LOGITS
    ghai
    0.99
    ning
    0.86
    stand
    0.85
    efully
    0.83
    pin
    0.79
    pins
    0.78
    nings
    0.77
    eware
    0.77
    fulness
    0.77
     Beware
    0.76
    Activations Density 0.034%

    No Known Activations