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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. 7-RES-JB
    11. 13550
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    Explanations

    phrases related to personal opinions or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express skepticism or doubt

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     STOP
    -0.63
     wiped
    -0.60
     incorpor
    -0.60
     charcoal
    -0.59
     INCLUD
    -0.57
     cancel
    -0.54
     PVC
    -0.53
     wipe
    -0.52
     mute
    -0.52
     WWF
    -0.52
    POSITIVE LOGITS
     wont
    0.86
     Views
    0.73
    sect
    0.67
    headers
    0.64
     detractors
    0.64
    ever
    0.62
     regards
    0.62
     Magicka
    0.62
    riott
    0.62
    thood
    0.61
    Activations Density 0.561%

    No Known Activations