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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. 8-RES-JB
    11. 12330
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    INDEX
    Explanations

    locations or quantities of items

    oai_token-act-pair · gpt-3.5-turbo

    references to high-value or significant quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itcher
    -0.67
    urches
    -0.65
    Developer
    -0.62
    FontSize
    -0.60
     Painter
    -0.60
     coincidence
    -0.58
    ernand
    -0.57
    Management
    -0.56
    yssey
    -0.56
    aturation
    -0.55
    POSITIVE LOGITS
     belongings
    1.07
     goodies
    1.00
     goods
    0.98
     items
    0.98
     pieces
    0.84
     contents
    0.83
     precious
    0.82
     materials
    0.82
     equipment
    0.80
     payload
    0.80
    Activations Density 0.842%

    No Known Activations