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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. 10-RES-JB
    11. 12166
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    Explanations

    numerical values concerning measurements or quantities

    oai_token-act-pair · gpt-3.5-turbo

    decimal numbers or figures related to measurements and percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     beaut
    -0.70
     construction
    -0.65
     wom
    -0.64
     nineteen
    -0.64
     CAM
    -0.63
     arsen
    -0.63
     builder
    -0.60
     archae
    -0.58
     testament
    -0.57
    WOOD
    -0.57
    POSITIVE LOGITS
    5
    1.42
    75
    1.32
    0
    1.32
    25
    1.24
    8
    1.22
    66666666
    1.19
    6
    1.18
    875
    1.16
    9
    1.16
    7
    1.16
    Activations Density 0.046%

    No Known Activations