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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. 19671
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    Explanations

    statements related to political viewpoints

    oai_token-act-pair · gpt-3.5-turbo

    trigger phrases indicating strong opinions or emotions

    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
     effected
    -0.70
     smoot
    -0.68
     Marketable
    -0.68
    ãĥ¼ãĥĨ
    -0.68
     Bent
    -0.67
    ffen
    -0.66
     cumbers
    -0.64
     disrupted
    -0.64
     outl
    -0.64
     Tanz
    -0.63
    POSITIVE LOGITS
    Ļ
    1.61
    ¬
    1.18
    į
    1.18
    ħ
    1.05
    ª
    1.02
    µ
    1.00
    ¤
    1.00
    £
    0.99
    Ĵ
    0.98
    ĵ
    0.98
    Activations Density 0.329%

    No Known Activations