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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. 8-RES-JB
    11. 22443
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    Explanations

    phrases that express doubt or uncertainty

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing potential difficulties or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ŃĶ
    -0.73
    ppo
    -0.70
    çīĪ
    -0.64
    ļéĨĴ
    -0.64
    ulner
    -0.64
    etheless
    -0.64
    IRT
    -0.63
    ĸļ
    -0.63
    Published
    -0.63
    ãĤ¸
    -0.61
    POSITIVE LOGITS
     but
    1.05
     BUT
    0.84
     though
    0.82
     tho
    0.82
     But
    0.81
     anymore
    0.80
    but
    0.78
     however
    0.74
    But
    0.73
     yet
    0.73
    Activations Density 0.728%

    No Known Activations