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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. 1-RES-JB
    11. 887
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    Explanations

    phrases related to legal entities or organizations, particularly those with the name "Citi" in them

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific organization or entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     marrow
    -0.67
    bearing
    -0.64
     layers
    -0.64
     veins
    -0.64
    constitutional
    -0.63
    under
    -0.63
    ħĭ
    -0.63
    é¾
    -0.61
     Seasons
    -0.61
    Frameworks
    -0.61
    POSITIVE LOGITS
    iti
    1.40
    Äĩ
    0.95
    atives
    0.92
    anan
    0.88
    urnal
    0.86
    ña
    0.86
    uting
    0.81
    oshi
    0.80
    ete
    0.80
    ],[
    0.78
    Activations Density 0.006%

    No Known Activations