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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. 20819
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    Explanations

    words related to ease or difficulty

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating simplification or facilitation

    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
    Origin
    -0.69
    Manufact
    -0.67
    orial
    -0.66
    Saint
    -0.66
    flag
    -0.64
    ³³³³³³³³³³³³³³³³
    -0.64
    FLAG
    -0.64
    reen
    -0.64
     Anthem
    -0.63
    Hong
    -0.63
    POSITIVE LOGITS
     than
    0.91
     forgiving
    0.89
     prey
    0.87
     "$:/
    0.83
     manageable
    0.82
     compr
    0.82
     easy
    0.82
     easier
    0.79
    luaj
    0.74
     readable
    0.73
    Activations Density 0.009%

    No Known Activations