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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. 6796
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    Explanations

    words related to preventing, lessening, or reducing negative impacts or consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reducing or managing risks and negative impacts

    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
    dom
    -0.79
    olds
    -0.75
    ebus
    -0.73
    lore
    -0.73
    letter
    -0.72
    ession
    -0.68
    cat
    -0.68
    oho
    -0.67
    ker
    -0.66
    ————————
    -0.66
    POSITIVE LOGITS
     mitigation
    1.28
     mitigate
    1.09
     mitigating
    0.94
    00200000
    0.91
     remed
    0.81
     overflow
    0.77
    MENTS
    0.77
    igating
    0.76
     CVE
    0.73
     exacerb
    0.72
    Activations Density 0.016%

    No Known Activations