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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. 7-RES-JB
    11. 8754
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    Explanations

    references to different types of chairs

    oai_token-act-pair · gpt-3.5-turbo

    references to seating furniture, particularly chairs and stools

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.82
    ocy
    -0.74
    onductor
    -0.71
     Territories
    -0.69
    aries
    -0.68
    DN
    -0.66
    arily
    -0.66
    reek
    -0.65
    iferation
    -0.64
    GBT
    -0.63
    POSITIVE LOGITS
    lift
    1.21
     furniture
    1.04
     chairs
    0.93
    chair
    0.92
     cush
    0.91
    tops
    0.90
     chair
    0.89
     recl
    0.88
    chairs
    0.83
     cushion
    0.81
    Activations Density 0.045%

    No Known Activations