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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. 7778
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    Explanations

    numerical or data-related terms associated with parameters

    oai_token-act-pair · gpt-3.5-turbo

    references to parameters and their values in a technical context

    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
    BY
    -0.86
    ILLE
    -0.75
    kus
    -0.74
    bery
    -0.72
    á½
    -0.71
    OME
    -0.69
    STD
    -0.69
     Poe
    -0.69
    minster
    -0.67
    YL
    -0.67
    POSITIVE LOGITS
    ilitary
    1.11
     parameters
    1.05
    eters
    0.96
     flares
    0.86
    eter
    0.86
     parameter
    0.85
    izes
    0.82
    ftime
    0.81
     annexed
    0.81
     Parameters
    0.79
    Activations Density 0.010%

    No Known Activations