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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
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    Explanations

    the word "expect" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    various forms of the word "pect," indicating a focus on perspectives or expectations

    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
    udeb
    -0.72
    issy
    -0.69
     recess
    -0.67
     distracting
    -0.66
    educ
    -0.66
    lishes
    -0.63
    rama
    -0.62
    cedes
    -0.62
     slang
    -0.60
     dime
    -0.60
    POSITIVE LOGITS
    pect
    0.94
    sson
    0.93
    olate
    0.92
    orate
    0.88
    eur
    0.84
    ations
    0.83
    lihood
    0.83
     Ratio
    0.82
    pects
    0.81
    terness
    0.80
    Activations Density 0.013%

    No Known Activations