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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. 2-RES-JB
    11. 23368
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    Explanations

    words related to significant or notable elements

    oai_token-act-pair · gpt-3.5-turbo

    references to significant works or items described as "pieces."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elsius
    -0.81
     Predators
    -0.76
     scrut
    -0.66
     consultants
    -0.62
    ities
    -0.60
    aeda
    -0.59
     Sector
    -0.59
     mids
    -0.59
    undai
    -0.58
     actionGroup
    -0.58
    POSITIVE LOGITS
    meal
    1.67
    ngth
    1.00
     piece
    0.91
    glass
    0.87
    ridges
    0.81
    umen
    0.81
    breaker
    0.79
    DonaldTrump
    0.79
     Pieces
    0.78
    hook
    0.77
    Activations Density 0.014%

    No Known Activations