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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. 10-RES-JB
    11. 11045
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    Explanations

    statistics related to sports performances

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics or metrics related to performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     democrat
    -0.78
     parach
    -0.62
     privileged
    -0.59
     organisers
    -0.58
     secular
    -0.56
     fung
    -0.56
     overnight
    -0.56
     secrecy
    -0.56
     appropri
    -0.55
     colourful
    -0.55
    POSITIVE LOGITS
    5
    1.14
    0
    1.14
    06
    1.06
    8
    1.04
    04
    1.03
    07
    1.02
    96
    1.02
    05
    1.02
    03
    1.02
    08
    1.01
    Activations Density 0.035%

    No Known Activations