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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. 3-RES-JB
    11. 13642
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    Explanations

    references to different models or versions of products

    oai_token-act-pair · gpt-3.5-turbo

    references to different models of a product

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -1.00
    olulu
    -0.84
    ulhu
    -0.82
    usters
    -0.80
    tein
    -0.80
    kefeller
    -0.76
    azar
    -0.74
    cffff
    -0.73
    arching
    -0.72
    olkien
    -0.71
    POSITIVE LOGITS
    model
    0.96
     Models
    0.81
    Versions
    0.79
     models
    0.79
     model
    0.78
     Model
    0.76
    maker
    0.70
    urer
    0.70
    models
    0.70
     Penal
    0.69
    Activations Density 0.020%

    No Known Activations