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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. 14219
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    Explanations

    phrases related to social issues and injustices

    oai_token-act-pair · gpt-3.5-turbo

    expressions of fear-related sentiments and social commentary on various issues

    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
    ħĭ
    -0.69
    ulla
    -0.68
    quished
    -0.68
    ãĥīãĥ©
    -0.67
    »Ĵ
    -0.67
    ãĤ¦ãĤ¹
    -0.66
    cients
    -0.66
    \<
    -0.65
    ãĥ¼ãĥ³
    -0.65
    chell
    -0.63
    POSITIVE LOGITS
     creativity
    1.12
    efficiency
    1.06
     agility
    1.05
     elegance
    1.05
     namely
    1.04
     honesty
    1.01
     sophistication
    0.99
     generosity
    0.98
     bravery
    0.98
     decency
    0.97
    Activations Density 0.382%

    No Known Activations