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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. 15835
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    Explanations

    mentions of personal achievements or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating significant achievements or milestones

    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
     specialize
    -0.70
    anwhile
    -0.63
    debian
    -0.63
     roam
    -0.60
     spor
    -0.60
    ebted
    -0.58
     recite
    -0.58
     pedd
    -0.57
    ournal
    -0.56
     Seeking
    -0.56
    POSITIVE LOGITS
     unbelievable
    0.91
     unheard
    0.87
     icing
    0.87
    ceivable
    0.87
     surreal
    0.86
    wow
    0.85
    ãħĭãħĭ
    0.84
    Wow
    0.84
     wow
    0.81
    Absolutely
    0.80
    Activations Density 0.426%

    No Known Activations