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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. 15556
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    Explanations

    words related to negative actions or consequences, particularly illegal or harmful ones

    oai_token-act-pair · gpt-3.5-turbo

    terms related to crime, economics, and 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
    adobe
    -0.60
    maxwell
    -0.56
    izon
    -0.53
    kernel
    -0.52
    abase
    -0.51
    Crime
    -0.51
    onen
    -0.51
    abet
    -0.51
     Aval
    -0.50
    github
    -0.50
    POSITIVE LOGITS
     alike
    1.47
     respectively
    1.00
     thereof
    0.80
     versa
    0.80
     accordingly
    0.62
     thereto
    0.57
     outfits
    0.52
     attRot
    0.50
     consequ
    0.50
     interchange
    0.49
    Activations Density 0.871%

    No Known Activations