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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 13770
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    Explanations

    phrases related to legal or official documents

    oai_token-act-pair · gpt-3.5-turbo

    references to legal documents or filings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fortress
    -0.75
     Sabres
    -0.69
     Barbar
    -0.69
     Belg
    -0.68
     Kazakhstan
    -0.68
     Monaco
    -0.67
     Townsend
    -0.67
    ctica
    -0.67
     CCTV
    -0.63
     Clifford
    -0.62
    POSITIVE LOGITS
     writ
    1.27
     Writ
    0.93
    writ
    0.83
    terness
    0.82
    eln
    0.78
    ritten
    0.78
    Writ
    0.78
    catentry
    0.76
     petitions
    0.74
    atche
    0.73
    Activations Density 0.019%

    No Known Activations