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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. 10-RES-JB
    11. 8090
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    Explanations

    phrases related to policies, practices, and impacts in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to policies and practices affecting societal structures and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     notor
    -0.73
     condem
    -0.63
    pload
    -0.63
     craz
    -0.63
    ãĥ¼ãĥĨãĤ£
    -0.61
     peac
    -0.61
     grandma
    -0.60
     corrid
    -0.58
     marqu
    -0.58
     unbeliev
    -0.58
    POSITIVE LOGITS
    ¶
    1.20
     =================================
    0.99
    .--
    0.95
     (%)
    0.94
    ↵Âł
    0.94
     ;
    0.89
    îĢ
    0.88
     Reply
    0.88
    ↵↵
    0.86
     =================
    0.85
    Activations Density 0.759%

    No Known Activations