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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. 1601
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    Explanations

    phrases related to a specific type of military

    oai_token-act-pair · gpt-3.5-turbo

    references to naval institutions and operations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Sax
    -0.86
    oned
    -0.85
    upon
    -0.83
    reads
    -0.74
    à
    -0.70
    heimer
    -0.70
    hov
    -0.70
     DEAD
    -0.69
    CRIP
    -0.67
    onement
    -0.67
    POSITIVE LOGITS
    odon
    0.97
    aval
    0.92
     vessels
    0.90
     warships
    0.89
    boat
    0.88
     Naval
    0.86
     blockade
    0.83
     naval
    0.82
     SEAL
    0.82
     Ships
    0.82
    Activations Density 0.011%

    No Known Activations