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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. 18360
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    terms related to societal impact and consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to impact and influence

    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
    /?
    -0.59
    },
    -0.55
     Became
    -0.55
    umar
    -0.54
     Reports
    -0.52
     Applications
    -0.51
    myra
    -0.50
     proposed
    -0.49
     Introduced
    -0.49
     largeDownload
    -0.49
    POSITIVE LOGITS
     neither
    1.21
     everywhere
    1.16
    only
    1.15
     EVERY
    1.14
     nonetheless
    1.10
     scarcely
    1.09
     hardly
    1.09
     both
    1.08
     nowhere
    1.06
     only
    1.06
    Activations Density 1.701%

    No Known Activations