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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. 11-RES-JB
    11. 12027
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    Explanations

    pronouns, particularly 'he' and 'she', as well as verbs indicating action or ownership

    oai_token-act-pair · gpt-3.5-turbo

    key phrases indicating readiness or potential in a person's actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kissinger
    -0.84
     Newark
    -0.83
     gad
    -0.81
     Gad
    -0.81
     Essex
    -0.80
     hemp
    -0.78
     FDR
    -0.74
     Morg
    -0.74
     Nelson
    -0.73
     Magnet
    -0.72
    POSITIVE LOGITS
    âĢ
    1.89
    ¨
    1.26
    ÃĥÃĤ
    1.11
     âĢ
    1.10
    ̶
    1.10
    ß
    1.10
    »
    1.07
    ãĢ
    1.05
    âľ
    1.05
    âĸ
    1.05
    Activations Density 1.311%

    No Known Activations