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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. 1-RES-JB
    11. 24285
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    Explanations

    action words related to problem-solving and potential solutions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reducing negative impacts or risks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.75
    swick
    -0.74
    dom
    -0.73
    grab
    -0.72
    loaded
    -0.71
    olds
    -0.71
    letter
    -0.70
    HOME
    -0.70
    lore
    -0.69
    whe
    -0.68
    POSITIVE LOGITS
     mitigation
    1.36
     mitigate
    1.28
     mitigating
    1.15
    00200000
    0.86
     overflow
    0.82
     remed
    0.79
    igating
    0.79
     deterrent
    0.79
     exacerb
    0.75
    igated
    0.75
    Activations Density 0.011%

    No Known Activations