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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 6815
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    INDEX
    Explanations

    phrases related to negative character traits or actions, such as being a villain or a spy

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tickets
    -0.74
     accordingly
    -0.66
    acters
    -0.65
    arios
    -0.64
    EH
    -0.64
     includ
    -0.63
    rolet
    -0.63
    20439
    -0.63
    onso
    -0.63
    NOW
    -0.62
    POSITIVE LOGITS
     disguise
    1.21
     sorts
    0.84
     whose
    0.82
     steroids
    0.79
     nowhere
    0.79
     miniature
    0.78
     paradise
    0.77
    offensive
    0.74
     spite
    0.74
     nutshell
    0.74
    Activations Density 0.149%

    No Known Activations