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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. 4-RES-JB
    11. 4135
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    Explanations

    mentions or phrases related to talking points and memos

    oai_token-act-pair · gpt-3.5-turbo

    references to talking points and discussions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ģĸ
    -0.72
    ello
    -0.67
    adelphia
    -0.65
    ©¶æ¥µ
    -0.64
    ado
    -0.64
    iola
    -0.64
    ña
    -0.64
    ¿½
    -0.61
    ados
    -0.59
     Myster
    -0.58
    POSITIVE LOGITS
     louder
    0.82
     loud
    0.74
     loudly
    0.72
    nesday
    0.72
     incess
    0.72
    jri
    0.71
     aloud
    0.68
     slogans
    0.68
     podcasts
    0.67
    yip
    0.67
    Activations Density 0.225%

    No Known Activations