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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. 10-RES-JB
    11. 8538
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    Explanations

    quotations in text

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks and phrases within them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fas
    -0.79
     cite
    -0.78
     Versus
    -0.77
     XL
    -0.76
     cf
    -0.76
     ABE
    -0.75
     tackle
    -0.75
     deductions
    -0.74
     BD
    -0.73
     chant
    -0.72
    POSITIVE LOGITS
    absolutely
    1.88
    extremely
    1.87
    completely
    1.81
    very
    1.75
    pretty
    1.72
    highly
    1.72
    quite
    1.71
    too
    1.67
    really
    1.66
    probably
    1.65
    Activations Density 0.083%

    No Known Activations