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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. 3-RES-JB
    11. 5394
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    Explanations

    terms related to reducing or alleviating negative impacts or risks

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reducing or minimizing 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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lore
    -0.75
    dom
    -0.75
    ession
    -0.72
    swick
    -0.71
    finished
    -0.70
    whe
    -0.69
    letter
    -0.68
    ¦
    -0.68
    ONT
    -0.68
    OH
    -0.67
    POSITIVE LOGITS
     mitigation
    1.28
     mitigate
    1.07
     mitigating
    0.91
    00200000
    0.84
     deprivation
    0.75
    atives
    0.74
     overflow
    0.72
     shielding
    0.72
    igating
    0.71
     compens
    0.71
    Activations Density 0.011%

    No Known Activations