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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. 9747
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    Explanations

    proper names and actions performed by individuals

    oai_token-act-pair · gpt-3.5-turbo

    active verbs and descriptors related to communication and expression

    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
    Higher
    -0.64
     Higher
    -0.63
     variance
    -0.62
     Window
    -0.62
     equivalents
    -0.60
    TEXTURE
    -0.60
     substr
    -0.60
     Contributions
    -0.59
     intervals
    -0.59
     Clause
    -0.59
    POSITIVE LOGITS
    ifies
    1.17
    itates
    1.02
    ounces
    0.98
    izes
    0.97
    wrote
    0.94
    umbnails
    0.91
    aciously
    0.88
    ighed
    0.86
    uates
    0.86
    isively
    0.85
    Activations Density 0.299%

    No Known Activations