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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 20516
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    INDEX
    Explanations

    mentions of the phrase "GO" followed by a numerical value from 6 to 10

    oai_token-act-pair · gpt-3.5-turbo

    references to a transit system called the GO Train

    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
    icio
    -0.75
    ienced
    -0.72
    acters
    -0.67
    manship
    -0.65
    creen
    -0.65
    chers
    -0.63
    ussen
    -0.62
    dimension
    -0.62
     Jed
    -0.60
    uracy
    -0.60
    POSITIVE LOGITS
    GO
    1.13
    vernment
    0.91
     GO
    0.90
    VER
    0.90
    XL
    0.88
    VE
    0.86
    ALS
    0.84
    UE
    0.82
    FOR
    0.79
    ARCH
    0.79
    Activations Density 0.008%

    No Known Activations