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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. 6-RES-JB
    11. 18835
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    Explanations

    references to specific tech products and devices

    oai_token-act-pair · gpt-3.5-turbo

    brands and products related to technology, particularly smart devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Petr
    -0.82
    ersion
    -0.77
    ajor
    -0.76
    opathic
    -0.76
    umbledore
    -0.76
    akespeare
    -0.76
    orkshire
    -0.74
     ILCS
    -0.74
    ictionary
    -0.74
    steen
    -0.74
    POSITIVE LOGITS
     MacBook
    0.94
     Accessories
    0.87
     XL
    0.84
     accessories
    0.84
     laptops
    0.84
     prototypes
    0.81
     Flip
    0.80
     smartphones
    0.80
     successors
    0.79
    Accessory
    0.78
    Activations Density 0.114%

    No Known Activations