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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. 1-RES-JB
    11. 18723
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    Explanations

    phrases related to meetings or events happening at a specific time or place

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "At" followed by numbers or times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FTWARE
    -0.82
    alpha
    -0.71
    Tube
    -0.68
    biased
    -0.68
    gravity
    -0.66
    powder
    -0.63
    tools
    -0.62
    TYPE
    -0.62
    586
    -0.61
    ships
    -0.61
    POSITIVE LOGITS
     least
    1.15
    hens
    0.96
    rial
    0.90
    abase
    0.90
    chieve
    0.88
    kinson
    0.87
    ogether
    0.86
    apult
    0.80
    las
    0.78
     dusk
    0.78
    Activations Density 0.032%

    No Known Activations