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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. 2602
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    Explanations

    phrases related to impressive or significant events

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with obstacles and spectacles

    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
    ;;;;;;;;
    -0.78
    ACTED
    -0.70
     Mens
    -0.68
    ergy
    -0.65
    published
    -0.65
    PLA
    -0.63
     Interest
    -0.62
    present
    -0.61
    cedented
    -0.61
    inventory
    -0.61
    POSITIVE LOGITS
    acle
    1.46
    acles
    1.40
    opus
    0.92
    asus
    0.79
    veyard
    0.78
    quished
    0.75
    culus
    0.74
    oldown
    0.73
    acular
    0.73
    otle
    0.72
    Activations Density 0.008%

    No Known Activations