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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. 11675
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    INDEX
    Explanations

    water-related actions and substances

    oai_token-act-pair · gpt-3.5-turbo

    substances and their associations with actions or activities

    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
    eatures
    -0.92
     singular
    -0.66
    Plan
    -0.64
    Model
    -0.64
     Franchise
    -0.64
     Fundamental
    -0.64
     Owners
    -0.63
     Rear
    -0.62
     Identity
    -0.62
    Ident
    -0.62
    POSITIVE LOGITS
     bottles
    1.11
     soaked
    1.03
     stains
    1.02
     cans
    1.02
     poured
    1.02
     flakes
    1.01
     darts
    1.01
     pellets
    1.01
     dripping
    1.00
    melon
    0.97
    Activations Density 0.314%

    No Known Activations