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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. 9-RES-JB
    11. 6960
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    Explanations

    nouns related to different types of rights or choices

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to personal values, choices, and moral decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hester
    -0.61
    olls
    -0.61
     scrut
    -0.58
    oub
    -0.55
     Sic
    -0.55
     Sard
    -0.54
     gloom
    -0.53
    comments
    -0.52
    Textures
    -0.52
    jured
    -0.51
    POSITIVE LOGITS
     pertaining
    0.88
     involving
    0.87
     consisting
    0.81
    ynchronous
    0.79
     borne
    0.78
     arising
    0.78
     relating
    0.77
     THAT
    0.72
     embodied
    0.72
     that
    0.71
    Activations Density 0.380%

    No Known Activations