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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. 11-RES-JB
    11. 17570
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    Explanations

    phrases related to negative consequences or risks associated with specific actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential consequences or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    warm
    -0.71
    FIR
    -0.68
    wl
    -0.67
    ACTED
    -0.67
    pak
    -0.66
    clusively
    -0.66
    nan
    -0.65
    Americ
    -0.65
    Led
    -0.64
    Franc
    -0.64
    POSITIVE LOGITS
     drawbacks
    1.71
     caveats
    1.66
     pitfalls
    1.54
     risks
    1.53
     disadvantages
    1.51
     complications
    1.44
     downs
    1.44
     downside
    1.40
     dangers
    1.36
     consequences
    1.32
    Activations Density 0.261%

    No Known Activations