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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. 13487
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    special characters 'âĢ'

    oai_token-act-pair · gpt-3.5-turbo

    the word "can" in various contexts

    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
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    No Comments

    Negative Logits
     shack
    -0.68
     Golem
    -0.65
     blitz
    -0.64
     assemb
    -0.64
     Shib
    -0.63
     guiActiveUnfocused
    -0.63
     spiral
    -0.62
     cyan
    -0.62
     colonial
    -0.62
     dividing
    -0.61
    POSITIVE LOGITS
    Ĵ
    1.02
    £
    0.99
    ı
    0.97
    Ķ
    0.92
    ķ
    0.85
    uve
    0.82
    lege
    0.82
    İ
    0.81
    been
    0.80
    º
    0.80
    Activations Density 0.046%

    No Known Activations