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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. 2-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "be" in various forms and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.74
     Bars
    -0.71
    rones
    -0.65
     dare
    -0.60
    osa
    -0.59
    rawdownloadcloneembedreportprint
    -0.58
     Grape
    -0.57
    odder
    -0.57
     Doesn
    -0.56
     Mund
    -0.56
    POSITIVE LOGITS
     able
    0.97
     seen
    0.95
     replaced
    0.91
     considered
    0.88
     forgiven
    0.85
     deemed
    0.85
     taken
    0.84
     judged
    0.84
    heading
    0.83
     subjected
    0.83
    Activations Density 0.304%

    No Known Activations