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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 9477
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    Explanations

    quotations indicating strong negative emotions or reactions

    oai_token-act-pair · gpt-3.5-turbo

    quotations expressing various emotional responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.89
    ²¾
    -0.83
    »Ĵ
    -0.80
    ¬¼
    -0.79
    ·
    -0.73
    ĪĴ
    -0.68
    Ĭ
    -0.67
    eb
    -0.67
    £ı
    -0.66
    erity
    -0.66
    POSITIVE LOGITS
     reads
    0.94
     says
    0.93
    said
    0.87
     said
    0.84
     according
    0.83
     recalls
    0.76
     referring
    0.75
     replied
    0.73
     remarked
    0.72
     exclaimed
    0.71
    Activations Density 0.088%

    No Known Activations