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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. 5236
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    Explanations

    phrases indicating different elements coming together or being combined

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to collaboration, combination, or unity

    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
    chat
    -0.66
    taker
    -0.62
    AH
    -0.62
    STAR
    -0.61
    BLIC
    -0.61
    sburg
    -0.60
    Discuss
    -0.60
     QUEST
    -0.59
    cius
    -0.59
    gow
    -0.59
    POSITIVE LOGITS
     together
    1.47
     neatly
    1.41
     seamlessly
    1.37
     nicely
    1.17
     toget
    1.16
    together
    1.16
     Together
    1.09
     synerg
    1.06
     into
    1.03
     disparate
    0.98
    Activations Density 0.149%

    No Known Activations