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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. 11-RES-JB
    11. 16673
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    Explanations

    words related to geographical locations and nationalities

    oai_token-act-pair · gpt-3.5-turbo

    letters and characters indicating grade levels or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Slaughter
    -0.70
     decaying
    -0.69
     Keynes
    -0.67
     SHAR
    -0.67
     shorth
    -0.66
     buggy
    -0.66
     sticky
    -0.64
     shuffle
    -0.64
     laughing
    -0.63
     VK
    -0.63
    POSITIVE LOGITS
    én
    1.25
    ÃŃs
    1.20
    ê
    1.19
    ó
    1.16
    ô
    1.14
    onde
    1.13
    ÃŃ
    1.12
    ás
    1.11
    onge
    1.10
    é
    1.10
    Activations Density 0.093%

    No Known Activations