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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. 3-RES-JB
    11. 11390
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    Explanations

    phrases involving quotations or reported speech

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks indicating speech or dialogue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĻĤ
    -0.80
    ²¾
    -0.77
    ¸
    -0.73
    Ļ½
    -0.72
    İĭ
    -0.68
    acht
    -0.67
    kees
    -0.67
    ¾
    -0.66
    agers
    -0.64
     stret
    -0.63
    POSITIVE LOGITS
    /"
    0.97
     âĢķ
    0.81
    >>\
    0.79
    SPONSORED
    0.73
     ["
    0.72
    OTUS
    0.72
    Brien
    0.68
     />
    0.67
    Reply
    0.65
    Adds
    0.62
    Activations Density 0.113%

    No Known Activations