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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
    11. 12016
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    phrases that include both a word enclosed in quotation marks and a high activation word not in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quote marks and associated quoted text

    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
    etheless
    -0.75
    İĭ
    -0.74
     challeng
    -0.73
    ĻĤ
    -0.72
    Ļ½
    -0.72
     hig
    -0.69
     spar
    -0.68
     sprint
    -0.67
    ailing
    -0.67
    ¸
    -0.65
    POSITIVE LOGITS
    /"
    1.27
    >>\
    0.92
     ["
    0.83
    Reply
    0.81
     />
    0.81
    ;;;;;;;;;;;;
    0.75
    +(
    0.73
    Brien
    0.72
    Yeah
    0.71
     ..."
    0.71
    Activations Density 0.122%

    No Known Activations