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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. 15447
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    Explanations

    references to societal issues and social justice

    oai_token-act-pair · gpt-3.5-turbo

    references to marginalized or affected groups of people

    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
    kamp
    -0.77
    ob
    -0.72
    opoly
    -0.70
    ¨
    -0.68
    osate
    -0.68
    onis
    -0.66
    ointment
    -0.65
    escription
    -0.65
    ILY
    -0.65
    orate
    -0.64
    POSITIVE LOGITS
     who
    1.17
     wishing
    1.15
     pesky
    1.00
     entrusted
    0.94
     whom
    0.92
    who
    0.92
     tasked
    0.89
     fortunate
    0.89
     interested
    0.87
     involved
    0.87
    Activations Density 0.071%

    No Known Activations