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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. 9-RES-JB
    11. 8993
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    Explanations

    references to specific entities such as people, organizations, and products

    oai_token-act-pair · gpt-3.5-turbo

    references to celebrities and notable public figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.85
    WARD
    -0.77
    advertising
    -0.73
    itsch
    -0.64
    ados
    -0.62
     [+]
    -0.62
    ctors
    -0.62
    could
    -0.61
    lies
    -0.60
     ACTIONS
    -0.60
    POSITIVE LOGITS
     installed
    1.16
     ready
    1.04
     handy
    1.03
     lined
    1.02
     implanted
    0.98
     pegged
    0.96
     thrown
    0.93
     deducted
    0.90
     pinned
    0.88
     shoved
    0.87
    Activations Density 0.521%

    No Known Activations