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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. 9-RES-JB
    11. 2983
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    Explanations

    mentions of professional sports teams

    oai_token-act-pair · gpt-3.5-turbo

    sentences ending with punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     advoc
    -0.76
     acknowled
    -0.75
     perspect
    -0.75
     maiden
    -0.74
     occupation
    -0.73
     challeng
    -0.72
     dimensional
    -0.72
     associations
    -0.71
     pend
    -0.70
     predec
    -0.70
    POSITIVE LOGITS
     Seriously
    1.23
     Nope
    1.12
     Apparently
    1.10
     Seems
    1.09
     Luckily
    1.09
     Granted
    1.08
     Photo
    1.08
     Literally
    1.06
     Located
    1.05
     Thankfully
    1.04
    Activations Density 0.500%

    No Known Activations