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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. 3-RES-JB
    11. 23174
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    INDEX
    Explanations

    phrases or words indicating something is easy

    oai_token-act-pair · gpt-3.5-turbo

    references to concepts of ease or simplicity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.88
    eters
    -0.84
    mbuds
    -0.72
    reon
    -0.69
    imental
    -0.68
    geist
    -0.68
     Opera
    -0.65
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.64
    akin
    -0.64
    Indust
    -0.62
    POSITIVE LOGITS
     easy
    0.88
     prey
    0.82
    wallet
    0.79
    ãĥīãĥ©
    0.78
     enough
    0.78
     forgiving
    0.75
    readable
    0.74
     bruising
    0.73
    easy
    0.71
    itud
    0.69
    Activations Density 0.022%

    No Known Activations