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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7057
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brance
    -0.74
    clair
    -0.69
    CTV
    -0.69
    peria
    -0.69
    acion
    -0.68
    cess
    -0.68
    Sea
    -0.66
    itement
    -0.65
    interrupted
    -0.65
    velt
    -0.65
    POSITIVE LOGITS
    pocket
    1.21
    axe
    1.21
    eting
    1.06
    picking
    0.96
    pick
    0.91
     pick
    0.84
    eters
    0.84
    ety
    0.82
    osition
    0.80
    Ń·
    0.79
    Activations Density 0.023%

    No Known Activations