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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. 3-RES-JB
    11. 6945
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to boards or board membership

    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
    borgh
    -0.69
     Hoover
    -0.68
    ankind
    -0.67
     Flask
    -0.66
    icity
    -0.65
     Weld
    -0.65
     Rover
    -0.63
    olon
    -0.63
     Ying
    -0.63
     Quant
    -0.62
    POSITIVE LOGITS
    walk
    1.19
    board
    1.07
    chair
    1.03
    chairs
    1.00
     board
    0.99
    Board
    0.98
    room
    0.98
    members
    0.97
    member
    0.91
     boards
    0.90
    Activations Density 0.021%

    No Known Activations