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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20172
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    Explanations

    questions ending with a question mark

    oai_token-act-pair · gpt-3.5-turbo

    questions posed in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     yak
    -0.66
    ishable
    -0.66
     marsh
    -0.66
     wilderness
    -0.65
    lock
    -0.64
    rio
    -0.64
     hob
    -0.63
     worm
    -0.63
     striped
    -0.62
     space
    -0.62
    POSITIVE LOGITS
     Surely
    1.08
     Nope
    1.07
     Wouldn
    1.01
     Certainly
    0.97
     Answer
    0.96
    ����
    0.96
     Perhaps
    0.95
     Probably
    0.93
     Presumably
    0.93
     Sadly
    0.91
    Activations Density 0.113%

    No Known Activations