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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. 6-RES-JB
    11. 2620
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    Explanations

    information related to recent actions or events

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases indicating recent actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    pora
    -0.88
    SPONSORED
    -0.82
     ãĤµ
    -0.79
    omal
    -0.71
    amen
    -0.69
    later
    -0.69
    goal
    -0.69
    mens
    -0.68
    often
    -0.67
    pattern
    -0.66
    POSITIVE LOGITS
    WIND
    0.80
     kindergarten
    0.76
     RELE
    0.76
    daq
    0.74
    DAQ
    0.74
     YORK
    0.67
    LEASE
    0.67
    çIJ
    0.66
    USS
    0.62
    CLASSIFIED
    0.61
    Activations Density 0.100%

    No Known Activations