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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. 17128
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    Explanations

    information related to events, incidents, or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to specific incidents and 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
    Not in Any Lists

    No Comments

    Negative Logits
    itized
    -0.70
     adop
    -0.69
    outer
    -0.68
    joice
    -0.67
     floats
    -0.67
     wra
    -0.66
    bearing
    -0.63
    Wra
    -0.62
     stripes
    -0.62
    flo
    -0.61
    POSITIVE LOGITS
     Airbus
    0.88
     Beir
    0.78
     Hollande
    0.74
     Bates
    0.74
     Auburn
    0.71
     Corker
    0.69
     Naval
    0.68
    GMT
    0.68
     Bernstein
    0.67
     Siem
    0.67
    Activations Density 0.461%

    No Known Activations