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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. 24294
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    Explanations

    phrases related to competition and victory

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competition and winning

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ourses
    -0.80
    Applications
    -0.77
    ructure
    -0.74
    egu
    -0.71
    earchers
    -0.70
    oubted
    -0.68
     facilit
    -0.65
    ODUCT
    -0.65
     Applications
    -0.65
    Initially
    -0.65
    POSITIVE LOGITS
     goddamn
    1.19
     poop
    1.19
     hilar
    1.17
     fucking
    1.14
     dudes
    1.10
     hilarious
    1.08
     fuck
    1.08
     boobs
    1.07
     dick
    1.06
     gigg
    1.06
    Activations Density 1.877%

    No Known Activations