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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. 1-RES-JB
    11. 23218
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    Explanations

    the name "Lou" with high activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Lou" throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģĨ
    -0.95
    UAL
    -0.90
    Demand
    -0.86
    Constructed
    -0.82
    ULT
    -0.80
    ãģ®éŃĶ
    -0.79
    VALUE
    -0.78
    hire
    -0.76
    NEWS
    -0.76
    RAM
    -0.76
    POSITIVE LOGITS
    vre
    1.19
     Lou
    0.98
     sclerosis
    0.96
     Geh
    0.95
    ©¶æ
    0.93
    illard
    0.91
     citiz
    0.90
    asury
    0.88
    zzle
    0.86
     hemor
    0.85
    Activations Density 0.004%

    No Known Activations