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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. 7-RES-JB
    11. 13365
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    Explanations

    phrases related to political, social, and economic issues being discussed or debated

    oai_token-act-pair · gpt-3.5-turbo

    references to systemic issues or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Negro
    -0.74
     strugg
    -0.70
     regist
    -0.68
     notor
    -0.67
     ende
    -0.66
     ponder
    -0.65
     snail
    -0.65
     adm
    -0.65
     jugg
    -0.65
     sacrific
    -0.65
    POSITIVE LOGITS
    ï¸ı
    1.03
    ¯
    1.02
    ï¸
    0.85
    cue
    0.84
    STEM
    0.84
    âĢł
    0.84
    âģ
    0.80
    east
    0.79
    efe
    0.79
    rh
    0.78
    Activations Density 0.190%

    No Known Activations