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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. 4-RES-JB
    11. 11150
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    Explanations

    phrases related to safety and caution

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the importance of safety

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

    No Comments

    Negative Logits
    yi
    -0.81
    iry
    -0.77
    ilion
    -0.76
    plates
    -0.73
    orno
    -0.73
    iens
    -0.73
    iple
    -0.72
    amy
    -0.69
    iery
    -0.69
    oras
    -0.68
    POSITIVE LOGITS
     exting
    0.92
     conclud
    0.92
     outweigh
    0.88
     evacuated
    0.81
     safely
    0.80
     outwe
    0.77
     dispose
    0.76
    mint
    0.74
     detonated
    0.74
     transitioned
    0.74
    Activations Density 0.018%

    No Known Activations