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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. 13844
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    Explanations

    terms related to tasks or actions that are easily achievable or simple

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing simplicity or ease

    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
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    Negative Logits
    hips
    -0.81
    eters
    -0.80
     Banner
    -0.72
    imental
    -0.69
    âĹ¼
    -0.68
    geist
    -0.65
    lov
    -0.65
     Protector
    -0.64
     Opera
    -0.63
     Regulatory
    -0.63
    POSITIVE LOGITS
     easy
    0.94
     prey
    0.80
     enough
    0.79
    wallet
    0.77
     forgiving
    0.76
    ãĥīãĥ©
    0.75
    easy
    0.75
    Jet
    0.73
    readable
    0.71
     bruising
    0.69
    Activations Density 0.016%

    No Known Activations