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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. 6122
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    Explanations

    phrases related to challenges or struggles

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events and significant social issues

    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
     Chau
    -0.49
     Hung
    -0.48
     Aval
    -0.48
    PLIED
    -0.46
    xia
    -0.45
    ibrary
    -0.44
    inez
    -0.43
    izon
    -0.43
    dds
    -0.43
     Yiannopoulos
    -0.42
    POSITIVE LOGITS
     alike
    1.18
     respectively
    1.11
     thereof
    1.07
     accordingly
    1.00
     thereafter
    0.92
     thereto
    0.85
     therein
    0.77
    depending
    0.70
     versa
    0.62
     attRot
    0.61
    Activations Density 4.005%

    No Known Activations