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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. 7-RES-JB
    11. 8807
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    Explanations

    phrases related to ethics and principles

    oai_token-act-pair · gpt-3.5-turbo

    expressions of moral or ethical responsibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Paddock
    -0.63
    DragonMagazine
    -0.62
    illac
    -0.60
    adelphia
    -0.59
     Originally
    -0.58
     Ranch
    -0.58
     Mecca
    -0.57
     Cous
    -0.57
    mallow
    -0.56
     Hut
    -0.54
    POSITIVE LOGITS
     accordingly
    1.13
     thereto
    0.76
     thereof
    0.76
     ourselves
    0.75
     inaction
    0.74
     advis
    0.70
     thereafter
    0.69
     alike
    0.69
     corrective
    0.68
    .�
    0.68
    Activations Density 1.316%

    No Known Activations