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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. 7-RES-JB
    11. 8989
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    Explanations

    proper nouns related to legal cases or individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to "Row" followed by numbers in a sequence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¤
    -0.91
    merce
    -0.78
    ural
    -0.75
    urated
    -0.72
     mathemat
    -0.67
     comprom
    -0.66
     blown
    -0.65
    ortium
    -0.64
    omorphic
    -0.64
    ovie
    -0.63
    POSITIVE LOGITS
    dy
    1.42
    dies
    1.31
    boat
    0.93
    away
    0.86
    Room
    0.85
    ser
    0.85
    een
    0.83
    rooms
    0.83
    nd
    0.82
    room
    0.82
    Activations Density 0.031%

    No Known Activations