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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. 12-RES-JB
    11. 3787
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    INDEX
    Explanations

    positive terms like "pro" and "supporting" within political contexts

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to pro-government or pro-establishment sentiments and figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     overd
    -0.67
     rele
    -0.61
     dx
    -0.60
     Dickens
    -0.59
     guid
    -0.57
     blindness
    -0.55
    ĸļ
    -0.55
     ware
    -0.55
     inadequ
    -0.55
     bloom
    -0.55
    POSITIVE LOGITS
    testers
    1.03
    democracy
    0.97
    test
    0.85
    testing
    0.83
    tes
    0.83
    scribed
    0.82
    clave
    0.79
    legates
    0.77
    cur
    0.77
    jet
    0.77
    Activations Density 0.047%

    No Known Activations