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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. 8-RES-JB
    11. 11218
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    Explanations

    contrasting situations or elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating comparisons or contrasts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    zyme
    -0.77
    authorized
    -0.69
    ben
    -0.63
    beans
    -0.61
    whe
    -0.60
    illed
    -0.60
    bean
    -0.60
    ça
    -0.58
     vend
    -0.57
     aeros
    -0.56
    POSITIVE LOGITS
    lihood
    0.92
    awei
    0.71
     Gap
    0.68
    orescent
    0.68
    ogue
    0.67
    eting
    0.67
     Flask
    0.62
    isons
    0.59
    ebus
    0.59
     Osw
    0.59
    Activations Density 0.022%

    No Known Activations