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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. 14015
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    Explanations

    assertive statements regarding beliefs or opinions

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" and its variations indicating arguments or beliefs within a text

    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
    stal
    -0.77
    Scroll
    -0.69
    wn
    -0.69
     pione
    -0.69
    inar
    -0.66
    lesiastical
    -0.66
    Bonus
    -0.65
    Laughs
    -0.65
    Plus
    -0.65
    aukee
    -0.65
    POSITIVE LOGITS
     eliminating
    0.82
     although
    0.81
     removing
    0.81
     there
    0.81
     preserving
    0.80
     retaining
    0.79
     adopting
    0.78
     maintaining
    0.77
     legalizing
    0.74
     allowing
    0.74
    Activations Density 0.181%

    No Known Activations