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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. 9-RES-JB
    11. 7250
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    financial terms and concepts related to economic policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.63
    ople
    -0.63
    ãĥĦ
    -0.62
    exclusive
    -0.62
    sama
    -0.58
    kn
    -0.58
    \":
    -0.57
    ãĤ¢ãĥ«
    -0.56
    ãĥ¢
    -0.56
    ãĤ´
    -0.55
    POSITIVE LOGITS
     abound
    0.99
     likewise
    0.97
     meanwhile
    0.89
     flourish
    0.80
     also
    0.78
     flourished
    0.76
     prolifer
    0.73
     srfAttach
    0.72
     unaffected
    0.70
     skyrocket
    0.68
    Activations Density 0.881%

    No Known Activations