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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. 4-RES-JB
    11. 14238
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    oai_token-act-pair · gpt-3.5-turbo

    references to different contexts or environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ilee
    -0.84
    usterity
    -0.80
    hammad
    -0.79
    agan
    -0.70
    assic
    -0.69
    ible
    -0.68
    actus
    -0.64
    markets
    -0.63
    acy
    -0.62
    istry
    -0.62
    POSITIVE LOGITS
     forth
    0.81
    ters
    0.77
     aside
    0.76
    tle
    0.74
     Spray
    0.73
    URN
    0.72
    tering
    0.66
     Setting
    0.66
     Gork
    0.65
    arget
    0.64
    Activations Density 0.012%

    No Known Activations